TY  - JOUR
AU  - Sekulić, Aleksandar
AU  - Kilibarda, Milan
AU  - Protić, Dragutin
AU  - Perčec-Tadić, Melita
AU  - Bajat, Branislav
PY  - 2020
UR  - https://link.springer.com/article/10.1007/s00704-019-03077-3
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2257
AB  - High resolution gridded mean daily temperature datasets are valuable for research and applications in agronomy, meteorology, hydrology, ecology, and many other disciplines depending on weather or climate. The gridded datasets and the models used for their estimation are being constantly improved as there is always a need for more accurate datasets as well as for datasets with a higher spatial and temporal resolution. We developed a spatio-temporal regression kriging model for Croatia at 1 km spatial resolution by adapting the spatio-temporal regression kriging model developed for global land areas. A geometrical temperature trend, digital elevation model, and topographic wetness index were used as covariates together with measurements from the Croatian national meteorological network for the year 2008. This model performed better than the global model and previously developed models for Croatia, based on MODIS land surface temperature images. The R2 was 97.8% and RMSE was 1.2 °C for leave-one-out and 5-fold cross-validation. The proposed national model still has a high level of uncertainty at higher altitudes leaving it suitable for agricultural areas that are dominant in lower and medium altitudes.
PB  - Springer Nature
T2  - Theoretical and Applied Climatology
T1  - Spatio-temporal regression kriging model of mean daily temperature for Croatia
EP  - 114
SP  - 101
VL  - 140
DO  - https://doi.org/10.1007/s00704-019-03077-3
ER  - 

@article{
author = "Sekulić, Aleksandar and Kilibarda, Milan and Protić, Dragutin and Perčec-Tadić, Melita and Bajat, Branislav",
year = "2020",
abstract = "High resolution gridded mean daily temperature datasets are valuable for research and applications in agronomy, meteorology, hydrology, ecology, and many other disciplines depending on weather or climate. The gridded datasets and the models used for their estimation are being constantly improved as there is always a need for more accurate datasets as well as for datasets with a higher spatial and temporal resolution. We developed a spatio-temporal regression kriging model for Croatia at 1 km spatial resolution by adapting the spatio-temporal regression kriging model developed for global land areas. A geometrical temperature trend, digital elevation model, and topographic wetness index were used as covariates together with measurements from the Croatian national meteorological network for the year 2008. This model performed better than the global model and previously developed models for Croatia, based on MODIS land surface temperature images. The R2 was 97.8% and RMSE was 1.2 °C for leave-one-out and 5-fold cross-validation. The proposed national model still has a high level of uncertainty at higher altitudes leaving it suitable for agricultural areas that are dominant in lower and medium altitudes.",
publisher = "Springer Nature",
journal = "Theoretical and Applied Climatology",
title = "Spatio-temporal regression kriging model of mean daily temperature for Croatia",
pages = "114-101",
volume = "140",
doi = "https://doi.org/10.1007/s00704-019-03077-3"
}

Sekulić, A., Kilibarda, M., Protić, D., Perčec-Tadić, M.,& Bajat, B.. (2020). Spatio-temporal regression kriging model of mean daily temperature for Croatia. in Theoretical and Applied Climatology
Springer Nature., 140, 101-114.
https://doi.org/https://doi.org/10.1007/s00704-019-03077-3

Sekulić A, Kilibarda M, Protić D, Perčec-Tadić M, Bajat B. Spatio-temporal regression kriging model of mean daily temperature for Croatia. in Theoretical and Applied Climatology. 2020;140:101-114.
doi:https://doi.org/10.1007/s00704-019-03077-3 .

Sekulić, Aleksandar, Kilibarda, Milan, Protić, Dragutin, Perčec-Tadić, Melita, Bajat, Branislav, "Spatio-temporal regression kriging model of mean daily temperature for Croatia" in Theoretical and Applied Climatology, 140 (2020):101-114,
https://doi.org/https://doi.org/10.1007/s00704-019-03077-3 . .

TY  - JOUR
AU  - Sekulić, Aleksandar
AU  - Kilibarda, Milan
AU  - Heuvelink, Gerard B. M.
AU  - Nikolić, Mladen
AU  - Bajat, Branislav
PY  - 2020
UR  - https://www.mdpi.com/2072-4292/12/10/1687
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1973
AB  - For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external drift and regression kriging have become basic techniques that benefit both from spatial autocorrelation and covariate information. More recently, machine learning techniques, such as random forest and gradient boosting, have become increasingly popular and are now often used for spatial interpolation. Some attempts have been made to explicitly take the spatial component into account in machine learning, but so far, none of these approaches have taken the natural route of incorporating the nearest observations and their distances to the prediction location as covariates. In this research, we explored the value of including observations at the nearest locations and their distances from the prediction location by introducing Random Forest Spatial Interpolation (RFSI). We compared RFSI with deterministic interpolation methods, ordinary kriging, regression kriging, Random Forest and Random Forest for spatial prediction (RFsp) in three case studies. The first case study made use of synthetic data, i.e., simulations from normally distributed stationary random fields with a known semivariogram, for which ordinary kriging is known to be optimal. The second and third case studies evaluated the performance of the various interpolation methods using daily precipitation data for the 2016–2018 period in Catalonia, Spain, and mean daily temperature for the year 2008 in Croatia. Results of the synthetic case study showed that RFSI outperformed most simple deterministic interpolation techniques and had similar performance as inverse distance weighting and RFsp. As expected, kriging was the most accurate technique in the synthetic case study. In the precipitation and temperature case studies, RFSI mostly outperformed regression kriging, inverse distance weighting, random forest, and RFsp. Moreover, RFSI was substantially faster than RFsp, particularly when the training dataset was large and high-resolution prediction maps were made.
PB  - MDPI
T2  - Remote Sensing
T1  - Random Forest Spatial Interpolation
IS  - 10
SP  - 1687
VL  - 12
DO  - 10.3390/rs12101687
ER  - 

@article{
author = "Sekulić, Aleksandar and Kilibarda, Milan and Heuvelink, Gerard B. M. and Nikolić, Mladen and Bajat, Branislav",
year = "2020",
abstract = "For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external drift and regression kriging have become basic techniques that benefit both from spatial autocorrelation and covariate information. More recently, machine learning techniques, such as random forest and gradient boosting, have become increasingly popular and are now often used for spatial interpolation. Some attempts have been made to explicitly take the spatial component into account in machine learning, but so far, none of these approaches have taken the natural route of incorporating the nearest observations and their distances to the prediction location as covariates. In this research, we explored the value of including observations at the nearest locations and their distances from the prediction location by introducing Random Forest Spatial Interpolation (RFSI). We compared RFSI with deterministic interpolation methods, ordinary kriging, regression kriging, Random Forest and Random Forest for spatial prediction (RFsp) in three case studies. The first case study made use of synthetic data, i.e., simulations from normally distributed stationary random fields with a known semivariogram, for which ordinary kriging is known to be optimal. The second and third case studies evaluated the performance of the various interpolation methods using daily precipitation data for the 2016–2018 period in Catalonia, Spain, and mean daily temperature for the year 2008 in Croatia. Results of the synthetic case study showed that RFSI outperformed most simple deterministic interpolation techniques and had similar performance as inverse distance weighting and RFsp. As expected, kriging was the most accurate technique in the synthetic case study. In the precipitation and temperature case studies, RFSI mostly outperformed regression kriging, inverse distance weighting, random forest, and RFsp. Moreover, RFSI was substantially faster than RFsp, particularly when the training dataset was large and high-resolution prediction maps were made.",
publisher = "MDPI",
journal = "Remote Sensing",
title = "Random Forest Spatial Interpolation",
number = "10",
pages = "1687",
volume = "12",
doi = "10.3390/rs12101687"
}

Sekulić, A., Kilibarda, M., Heuvelink, G. B. M., Nikolić, M.,& Bajat, B.. (2020). Random Forest Spatial Interpolation. in Remote Sensing
MDPI., 12(10), 1687.
https://doi.org/10.3390/rs12101687

Sekulić A, Kilibarda M, Heuvelink GBM, Nikolić M, Bajat B. Random Forest Spatial Interpolation. in Remote Sensing. 2020;12(10):1687.
doi:10.3390/rs12101687 .

Sekulić, Aleksandar, Kilibarda, Milan, Heuvelink, Gerard B. M., Nikolić, Mladen, Bajat, Branislav, "Random Forest Spatial Interpolation" in Remote Sensing, 12, no. 10 (2020):1687,
https://doi.org/10.3390/rs12101687 . .

TY  - JOUR
AU  - Sekulić, Aleksandar
AU  - Kilibarda, Milan
AU  - Protić, Dragutin
AU  - Perčec-Tadić, Melita
AU  - Bajat, Branislav
PY  - 2019
UR  - https://link.springer.com/article/10.1007/s00704-019-03077-3
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1847
AB  - High resolution gridded mean daily temperature datasets are valuable for research and applications in agronomy, meteorology, hydrology, ecology, and many other disciplines depending on weather or climate. The gridded datasets and the models used for their estimation are being constantly improved as there is always a need for more accurate datasets as well as for datasets with a higher spatial and temporal resolution. We developed a spatio-temporal regression kriging model for Croatia at 1 km spatial resolution by adapting the spatio-temporal regression kriging model developed for global land areas. A geometrical temperature trend, digital elevation model, and topographic wetness index were used as covariates together with measurements from the Croatian national meteorological network for the year 2008. This model performed better than the global model and previously developed models for Croatia, based on MODIS land surface temperature images. The R2 was 97.8% and RMSE was 1.2 °C for leave-one-out and 5-fold cross-validation. The proposed national model still has a high level of uncertainty at higher altitudes leaving it suitable for agricultural areas that are dominant in lower and medium altitudes.
PB  - Springer
T2  - Theoretical and Applied Climatology
T1  - Spatio-temporal regression kriging model of mean daily temperature for Croatia
DO  - 10.1007/s00704-019-03077-3
ER  - 

@article{
author = "Sekulić, Aleksandar and Kilibarda, Milan and Protić, Dragutin and Perčec-Tadić, Melita and Bajat, Branislav",
year = "2019",
abstract = "High resolution gridded mean daily temperature datasets are valuable for research and applications in agronomy, meteorology, hydrology, ecology, and many other disciplines depending on weather or climate. The gridded datasets and the models used for their estimation are being constantly improved as there is always a need for more accurate datasets as well as for datasets with a higher spatial and temporal resolution. We developed a spatio-temporal regression kriging model for Croatia at 1 km spatial resolution by adapting the spatio-temporal regression kriging model developed for global land areas. A geometrical temperature trend, digital elevation model, and topographic wetness index were used as covariates together with measurements from the Croatian national meteorological network for the year 2008. This model performed better than the global model and previously developed models for Croatia, based on MODIS land surface temperature images. The R2 was 97.8% and RMSE was 1.2 °C for leave-one-out and 5-fold cross-validation. The proposed national model still has a high level of uncertainty at higher altitudes leaving it suitable for agricultural areas that are dominant in lower and medium altitudes.",
publisher = "Springer",
journal = "Theoretical and Applied Climatology",
title = "Spatio-temporal regression kriging model of mean daily temperature for Croatia",
doi = "10.1007/s00704-019-03077-3"
}

Sekulić, A., Kilibarda, M., Protić, D., Perčec-Tadić, M.,& Bajat, B.. (2019). Spatio-temporal regression kriging model of mean daily temperature for Croatia. in Theoretical and Applied Climatology
Springer..
https://doi.org/10.1007/s00704-019-03077-3

Sekulić A, Kilibarda M, Protić D, Perčec-Tadić M, Bajat B. Spatio-temporal regression kriging model of mean daily temperature for Croatia. in Theoretical and Applied Climatology. 2019;.
doi:10.1007/s00704-019-03077-3 .

Sekulić, Aleksandar, Kilibarda, Milan, Protić, Dragutin, Perčec-Tadić, Melita, Bajat, Branislav, "Spatio-temporal regression kriging model of mean daily temperature for Croatia" in Theoretical and Applied Climatology (2019),
https://doi.org/10.1007/s00704-019-03077-3 . .

TY  - JOUR
AU  - Pejović, Milutin
AU  - Nikolić, Mladen
AU  - Heuvelink, Gerard B. M.
AU  - Hengl, Tomislav
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/943
AB  - An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction at multiple depths is presented. Modeling soil properties in 3D benefits from interactions of spatial predictors with soil depth and its polynomial expansion, which yields a large number of model variables (and corresponding model parameters). Lasso is able to perform variable selection, hence reducing the number of model parameters and making the model more easily interpretable. This also prevents overfitting, which makes the model more accurate. The presented approach was tested using four variable selection approaches - none, stepwise, lasso and hierarchical lasso, on four kinds of models - standard linear model, linear model with polynomial expansion of depth, linear model with interactions of covariates with depth and linear model with interactions of covariates with depth and its polynomial expansion. This framework was used to predict Soil Organic Carbon (SOC) in three contrasting study areas: Bor (Serbia), Edgeroi (Australia) and the Netherlands. Results show that lasso yields substantial improvements in accuracy over standard and stepwise regression - up to 50 % of total variance. It yields models which contain up to five times less nonzero parameters than the full models and that are usually more sparse than models obtained by stepwise regression, up to three times. Extension of the standard linear model by including interactions typically improves the accuracy of models produced by lasso, but is detrimental to standard and stepwise regression. Regarding computation time, it was demonstrated that lasso is several orders of magnitude more efficient than stepwise regression for models with tens or hundreds of variables (including interactions). Proper model evaluation is emphasized. Considering the fact that lasso requires meta-parameter tuning, standard cross-validation does not suffice for adequate model evaluation, hence a nested cross-validation was employed. The presented approach is implemented as publicly available sparsereg3D R package.
PB  - Elsevier Ltd
T2  - Computers & Geosciences
T1  - Sparse regression interaction models for spatial prediction of soil properties in 3D
EP  - 13
SP  - 1
VL  - 118
DO  - 10.1016/j.cageo.2018.05.008
ER  - 

@article{
author = "Pejović, Milutin and Nikolić, Mladen and Heuvelink, Gerard B. M. and Hengl, Tomislav and Kilibarda, Milan and Bajat, Branislav",
year = "2018",
abstract = "An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction at multiple depths is presented. Modeling soil properties in 3D benefits from interactions of spatial predictors with soil depth and its polynomial expansion, which yields a large number of model variables (and corresponding model parameters). Lasso is able to perform variable selection, hence reducing the number of model parameters and making the model more easily interpretable. This also prevents overfitting, which makes the model more accurate. The presented approach was tested using four variable selection approaches - none, stepwise, lasso and hierarchical lasso, on four kinds of models - standard linear model, linear model with polynomial expansion of depth, linear model with interactions of covariates with depth and linear model with interactions of covariates with depth and its polynomial expansion. This framework was used to predict Soil Organic Carbon (SOC) in three contrasting study areas: Bor (Serbia), Edgeroi (Australia) and the Netherlands. Results show that lasso yields substantial improvements in accuracy over standard and stepwise regression - up to 50 % of total variance. It yields models which contain up to five times less nonzero parameters than the full models and that are usually more sparse than models obtained by stepwise regression, up to three times. Extension of the standard linear model by including interactions typically improves the accuracy of models produced by lasso, but is detrimental to standard and stepwise regression. Regarding computation time, it was demonstrated that lasso is several orders of magnitude more efficient than stepwise regression for models with tens or hundreds of variables (including interactions). Proper model evaluation is emphasized. Considering the fact that lasso requires meta-parameter tuning, standard cross-validation does not suffice for adequate model evaluation, hence a nested cross-validation was employed. The presented approach is implemented as publicly available sparsereg3D R package.",
publisher = "Elsevier Ltd",
journal = "Computers & Geosciences",
title = "Sparse regression interaction models for spatial prediction of soil properties in 3D",
pages = "13-1",
volume = "118",
doi = "10.1016/j.cageo.2018.05.008"
}

Pejović, M., Nikolić, M., Heuvelink, G. B. M., Hengl, T., Kilibarda, M.,& Bajat, B.. (2018). Sparse regression interaction models for spatial prediction of soil properties in 3D. in Computers & Geosciences
Elsevier Ltd., 118, 1-13.
https://doi.org/10.1016/j.cageo.2018.05.008

Pejović M, Nikolić M, Heuvelink GBM, Hengl T, Kilibarda M, Bajat B. Sparse regression interaction models for spatial prediction of soil properties in 3D. in Computers & Geosciences. 2018;118:1-13.
doi:10.1016/j.cageo.2018.05.008 .

Pejović, Milutin, Nikolić, Mladen, Heuvelink, Gerard B. M., Hengl, Tomislav, Kilibarda, Milan, Bajat, Branislav, "Sparse regression interaction models for spatial prediction of soil properties in 3D" in Computers & Geosciences, 118 (2018):1-13,
https://doi.org/10.1016/j.cageo.2018.05.008 . .

TY  - JOUR
AU  - Protić, Dragutin
AU  - Kilibarda Milan, S.
AU  - Nenković-Riznić Marina, D.
AU  - Nestorov, Ivan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1565
AB  - Solar maps as web cartographic products that provide information on solar potential of surfaces on the Earth have been exploited in decision making, awareness raising, and promoting the use of solar energy. Web based solar maps of cities have become popular services as the use of solar energy is especially attractive in urban environments. The article discusses the concept and aspects of urban solar potential maps on the example of the i-Scope project as a case study. The i-Scope roof solar potential service built on 3-D urban information models was piloted in eight European cities. To obtain precise data on solar irradiation, a good quality digital surface model is required. A cost efficient innovative method for generation of digital surface model from stereophotogrammetry for urban areas where no advanced source data (e. g. LiDAR) exist is developed. The method works for flat, shed and gable roofs and provides sufficient accuracy of digital surface model.
PB  - Belgrade : Vinča Institute of Nuclear Sciences
T2  - Thermal Science
T1  - 3D urban solar potential maps - case study of the i-SCOPE project
EP  - 673
IS  - 1B
SP  - 663
VL  - 22
DO  - 10.2298/TSCI170715213P
ER  - 

@article{
author = "Protić, Dragutin and Kilibarda Milan, S. and Nenković-Riznić Marina, D. and Nestorov, Ivan",
year = "2018",
abstract = "Solar maps as web cartographic products that provide information on solar potential of surfaces on the Earth have been exploited in decision making, awareness raising, and promoting the use of solar energy. Web based solar maps of cities have become popular services as the use of solar energy is especially attractive in urban environments. The article discusses the concept and aspects of urban solar potential maps on the example of the i-Scope project as a case study. The i-Scope roof solar potential service built on 3-D urban information models was piloted in eight European cities. To obtain precise data on solar irradiation, a good quality digital surface model is required. A cost efficient innovative method for generation of digital surface model from stereophotogrammetry for urban areas where no advanced source data (e. g. LiDAR) exist is developed. The method works for flat, shed and gable roofs and provides sufficient accuracy of digital surface model.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences",
journal = "Thermal Science",
title = "3D urban solar potential maps - case study of the i-SCOPE project",
pages = "673-663",
number = "1B",
volume = "22",
doi = "10.2298/TSCI170715213P"
}

Protić, D., Kilibarda Milan, S., Nenković-Riznić Marina, D.,& Nestorov, I.. (2018). 3D urban solar potential maps - case study of the i-SCOPE project. in Thermal Science
Belgrade : Vinča Institute of Nuclear Sciences., 22(1B), 663-673.
https://doi.org/10.2298/TSCI170715213P

Protić D, Kilibarda Milan S, Nenković-Riznić Marina D, Nestorov I. 3D urban solar potential maps - case study of the i-SCOPE project. in Thermal Science. 2018;22(1B):663-673.
doi:10.2298/TSCI170715213P .

Protić, Dragutin, Kilibarda Milan, S., Nenković-Riznić Marina, D., Nestorov, Ivan, "3D urban solar potential maps - case study of the i-SCOPE project" in Thermal Science, 22, no. 1B (2018):663-673,
https://doi.org/10.2298/TSCI170715213P . .

TY  - JOUR
AU  - Protić, Dragutin
AU  - Kilibarda, Milan
AU  - Nenkovic-Riznić, Marina D.
AU  - Nestorov, Ivan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/960
AB  - Solar maps as web cartographic products that provide information on solar potential of surfaces on the Earth have been exploited in decision making, awareness raising, and promoting the use of solar energy. Web based solar maps of cities have become popular services as the use of solar energy is especially attractive in urban environments. The article discusses the concept and aspects of urban solar potential maps on the example of the i-Scope project as a case study. The i-Scope roof solar potential service built on 3-D urban information models was piloted in eight European cities. To obtain precise data on solar irradiation, a good quality digital surface model is required. A cost efficient innovative method for generation of digital surface model from stereophotogrammetry for urban areas where no advanced source data (e. g. LiDAR) exist is developed. The method works for flat, shed and gable roofs and provides sufficient accuracy of digital surface model.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - Three-dimensional urban solar potential maps case study of the i-scope project
EP  - 673
IS  - 1
SP  - 663
VL  - 22
DO  - 10.2298/TSCI170715213P
ER  - 

@article{
author = "Protić, Dragutin and Kilibarda, Milan and Nenkovic-Riznić, Marina D. and Nestorov, Ivan",
year = "2018",
abstract = "Solar maps as web cartographic products that provide information on solar potential of surfaces on the Earth have been exploited in decision making, awareness raising, and promoting the use of solar energy. Web based solar maps of cities have become popular services as the use of solar energy is especially attractive in urban environments. The article discusses the concept and aspects of urban solar potential maps on the example of the i-Scope project as a case study. The i-Scope roof solar potential service built on 3-D urban information models was piloted in eight European cities. To obtain precise data on solar irradiation, a good quality digital surface model is required. A cost efficient innovative method for generation of digital surface model from stereophotogrammetry for urban areas where no advanced source data (e. g. LiDAR) exist is developed. The method works for flat, shed and gable roofs and provides sufficient accuracy of digital surface model.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "Three-dimensional urban solar potential maps case study of the i-scope project",
pages = "673-663",
number = "1",
volume = "22",
doi = "10.2298/TSCI170715213P"
}

Protić, D., Kilibarda, M., Nenkovic-Riznić, M. D.,& Nestorov, I.. (2018). Three-dimensional urban solar potential maps case study of the i-scope project. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 22(1), 663-673.
https://doi.org/10.2298/TSCI170715213P

Protić D, Kilibarda M, Nenkovic-Riznić MD, Nestorov I. Three-dimensional urban solar potential maps case study of the i-scope project. in Thermal Science. 2018;22(1):663-673.
doi:10.2298/TSCI170715213P .

Protić, Dragutin, Kilibarda, Milan, Nenkovic-Riznić, Marina D., Nestorov, Ivan, "Three-dimensional urban solar potential maps case study of the i-scope project" in Thermal Science, 22, no. 1 (2018):663-673,
https://doi.org/10.2298/TSCI170715213P . .

TY  - JOUR
AU  - Pejović, Milutin
AU  - Bajat, Branislav
AU  - Gospavić, Zagorka
AU  - Saljnikov, Elmira
AU  - Kilibarda, Milan
AU  - Cakmak, Dragan
PY  - 2017
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/821
AB  - Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In this study, the combined effects of these factors were considered with respect to terrain exposure in order to explain the complex, spatial trend of Arsenic (As) concentration that was atmospherically-deposited from one of the largest Copper Mining and Smelting Complexes in Europe, Bor in Serbia. Several exposure parameters were created and employed as spatial covariates within the so-called "Spline-Then-Krige" approach for producing maps of As concentration at three standard soil depth layers (0-5 cm, 5-15 cm and 15-30 cm). The exposure parameters were created to quantify two different aspects of terrain exposure: Geometrical (Proximity) and Topographical exposure. Regression analysis confirmed the presence of a significant statistical association between the As data and all exposure parameters. The trend model showed good overall accuracy explaining 52% of the variance in As data for the surface soil layer, 49% for the middle layer and 35% for the deepest layer. Relative importance analysis revealed the importance of considering a more general model that includes interactions between exposure parameters. The kriging interpolation improved, to some extent, the regression accuracy for all three layers with R-2 values ranging from 55% for the surface layer to the 36% for the deepest soil layer. The prediction maps show that As contamination levels are well above allowable Serbian agricultural concentration limits (As lt mg/kg) for approximately 78% of the mapping area, thereby indicating that long term smelting activity leaves significant consequences on soil even on deeper unexposed layers.
PB  - Elsevier B.V.
T2  - Journal of Geochemical Exploration
T1  - Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure
EP  - 35
SP  - 25
VL  - 179
DO  - 10.1016/j.gexplo.2017.05.004
ER  - 

@article{
author = "Pejović, Milutin and Bajat, Branislav and Gospavić, Zagorka and Saljnikov, Elmira and Kilibarda, Milan and Cakmak, Dragan",
year = "2017",
abstract = "Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In this study, the combined effects of these factors were considered with respect to terrain exposure in order to explain the complex, spatial trend of Arsenic (As) concentration that was atmospherically-deposited from one of the largest Copper Mining and Smelting Complexes in Europe, Bor in Serbia. Several exposure parameters were created and employed as spatial covariates within the so-called "Spline-Then-Krige" approach for producing maps of As concentration at three standard soil depth layers (0-5 cm, 5-15 cm and 15-30 cm). The exposure parameters were created to quantify two different aspects of terrain exposure: Geometrical (Proximity) and Topographical exposure. Regression analysis confirmed the presence of a significant statistical association between the As data and all exposure parameters. The trend model showed good overall accuracy explaining 52% of the variance in As data for the surface soil layer, 49% for the middle layer and 35% for the deepest layer. Relative importance analysis revealed the importance of considering a more general model that includes interactions between exposure parameters. The kriging interpolation improved, to some extent, the regression accuracy for all three layers with R-2 values ranging from 55% for the surface layer to the 36% for the deepest soil layer. The prediction maps show that As contamination levels are well above allowable Serbian agricultural concentration limits (As lt mg/kg) for approximately 78% of the mapping area, thereby indicating that long term smelting activity leaves significant consequences on soil even on deeper unexposed layers.",
publisher = "Elsevier B.V.",
journal = "Journal of Geochemical Exploration",
title = "Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure",
pages = "35-25",
volume = "179",
doi = "10.1016/j.gexplo.2017.05.004"
}

Pejović, M., Bajat, B., Gospavić, Z., Saljnikov, E., Kilibarda, M.,& Cakmak, D.. (2017). Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure. in Journal of Geochemical Exploration
Elsevier B.V.., 179, 25-35.
https://doi.org/10.1016/j.gexplo.2017.05.004

Pejović M, Bajat B, Gospavić Z, Saljnikov E, Kilibarda M, Cakmak D. Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure. in Journal of Geochemical Exploration. 2017;179:25-35.
doi:10.1016/j.gexplo.2017.05.004 .

Pejović, Milutin, Bajat, Branislav, Gospavić, Zagorka, Saljnikov, Elmira, Kilibarda, Milan, Cakmak, Dragan, "Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure" in Journal of Geochemical Exploration, 179 (2017):25-35,
https://doi.org/10.1016/j.gexplo.2017.05.004 . .

TY  - CONF
AU  - Kosić, Tatjana
AU  - Krstić-Furundžić, Aleksandra
AU  - Grujić, Marija
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1339
AB  - The subject of this research is the Life cycle costs analysis of the building in order to evaluate the economic efficiency and cost-effectiveness of investments in various variants of application of active solar systems in aim to achieve the reduction of energy consumption and environmental pollution. Different variants of solar thermal collector’s application to the existing prefabricated residential building in the settlement Konjarnik in Belgrade, Serbia, are considered from the economic point of view. Cost-effectiveness and feasibility of various scenarios of energy optimization achieved by application of solar thermal collectors into the building envelope are evaluated on the basis of final energy consumption (within the EU-ISO standards). The methodological approach involves the analysis of the costs of energy consumption for water heating, financial analysis of costs and savings over the life cycle of the existing building in case of solar thermal collectors’ application to the building envelope as well as a comparative analysis of achieved results. Criteria for the economic analysis include the amount of investment, energy costs and life cycle costs of the building. According to the adopted criteria, the most suitable models are selected. This methodological approach is generally applicable in the analysis of investments in improvement of building energy performances, while possible technical solutions and the resulting economic benefits must be carefully considered.
PB  - COST Office,
C3  - COST Action TU1205 (BISTS): Building Integration of Solar Thermal Systems: Proceedings of COST Action TU1205 Symposium combined with EUROELECS 2015 Conference, Guimarães, Portugal
T1  - Economic aspect of solar thermal collectors integration into facade of multifamily housing
EP  - 57
SP  - 48
UR  - https://hdl.handle.net/21.15107/rcub_raf_420
ER  - 

@conference{
author = "Kosić, Tatjana and Krstić-Furundžić, Aleksandra and Grujić, Marija",
year = "2015",
abstract = "The subject of this research is the Life cycle costs analysis of the building in order to evaluate the economic efficiency and cost-effectiveness of investments in various variants of application of active solar systems in aim to achieve the reduction of energy consumption and environmental pollution. Different variants of solar thermal collector’s application to the existing prefabricated residential building in the settlement Konjarnik in Belgrade, Serbia, are considered from the economic point of view. Cost-effectiveness and feasibility of various scenarios of energy optimization achieved by application of solar thermal collectors into the building envelope are evaluated on the basis of final energy consumption (within the EU-ISO standards). The methodological approach involves the analysis of the costs of energy consumption for water heating, financial analysis of costs and savings over the life cycle of the existing building in case of solar thermal collectors’ application to the building envelope as well as a comparative analysis of achieved results. Criteria for the economic analysis include the amount of investment, energy costs and life cycle costs of the building. According to the adopted criteria, the most suitable models are selected. This methodological approach is generally applicable in the analysis of investments in improvement of building energy performances, while possible technical solutions and the resulting economic benefits must be carefully considered.",
publisher = "COST Office,",
journal = "COST Action TU1205 (BISTS): Building Integration of Solar Thermal Systems: Proceedings of COST Action TU1205 Symposium combined with EUROELECS 2015 Conference, Guimarães, Portugal",
title = "Economic aspect of solar thermal collectors integration into facade of multifamily housing",
pages = "57-48",
url = "https://hdl.handle.net/21.15107/rcub_raf_420"
}

Kosić, T., Krstić-Furundžić, A.,& Grujić, M.. (2015). Economic aspect of solar thermal collectors integration into facade of multifamily housing. in COST Action TU1205 (BISTS): Building Integration of Solar Thermal Systems: Proceedings of COST Action TU1205 Symposium combined with EUROELECS 2015 Conference, Guimarães, Portugal
COST Office,., 48-57.
https://hdl.handle.net/21.15107/rcub_raf_420

Kosić T, Krstić-Furundžić A, Grujić M. Economic aspect of solar thermal collectors integration into facade of multifamily housing. in COST Action TU1205 (BISTS): Building Integration of Solar Thermal Systems: Proceedings of COST Action TU1205 Symposium combined with EUROELECS 2015 Conference, Guimarães, Portugal. 2015;:48-57.
https://hdl.handle.net/21.15107/rcub_raf_420 .

Kosić, Tatjana, Krstić-Furundžić, Aleksandra, Grujić, Marija, "Economic aspect of solar thermal collectors integration into facade of multifamily housing" in COST Action TU1205 (BISTS): Building Integration of Solar Thermal Systems: Proceedings of COST Action TU1205 Symposium combined with EUROELECS 2015 Conference, Guimarães, Portugal (2015):48-57,
https://hdl.handle.net/21.15107/rcub_raf_420 .

TY  - CONF
AU  - Kosić, Tatjana
AU  - Krstić-Furundžić, Aleksandra
AU  - Grujić, Marija
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1273
AB  - The subject of this research is the Life cycle costs analysis of the building in order to assess the economic efficiency and cost‐effectiveness of investments in various variants of application of active solar systems in aim to achieve a reduction of energy consumption and environmental pollution. Different variants of solar thermal collector’s application to the existing prefabricated residential building in the settlement Konjarnik in Belgrade, Serbia, are considered from the economic point of view. Cost‐effectiveness and feasibility of various scenarios of energy optimization achieved by application of solar thermal collectors into the building envelope are evaluated on the basis of final energy consumption (within the EU‐ISO standards). The methodological approach involves the analysis of the costs of energy consumption for sanitary hot water preparation, financial analysis of costs and cost savings throughout the lifecycle of the existing building in case of application of solar thermal collectors’ on the building envelope, as well as a comparative analysis of obtained results. Criteria for the economic analysis include the amount of investment, energy costs and life‐cycle costs of the building. According to the adopted criteria, the most suitable models are selected. This methodological approach is generally applicable in the analysis of investments in improvement of building energy performances, while possible technical solutions and the resulting economic benefits must be carefully considered.
C3  - Euro ELECS 2015: Latin American and European Conference on Sustainable Buildings and Communities, 21-23 July 2015, Guimarães, Portugal. Vol. 1
T1  - Economic aspect of solar thermal collectors integration into facade of multifamily residential building
EP  - 716
SP  - 707
UR  - https://hdl.handle.net/21.15107/rcub_raf_419
ER  - 

@conference{
author = "Kosić, Tatjana and Krstić-Furundžić, Aleksandra and Grujić, Marija",
year = "2015",
abstract = "The subject of this research is the Life cycle costs analysis of the building in order to assess the economic efficiency and cost‐effectiveness of investments in various variants of application of active solar systems in aim to achieve a reduction of energy consumption and environmental pollution. Different variants of solar thermal collector’s application to the existing prefabricated residential building in the settlement Konjarnik in Belgrade, Serbia, are considered from the economic point of view. Cost‐effectiveness and feasibility of various scenarios of energy optimization achieved by application of solar thermal collectors into the building envelope are evaluated on the basis of final energy consumption (within the EU‐ISO standards). The methodological approach involves the analysis of the costs of energy consumption for sanitary hot water preparation, financial analysis of costs and cost savings throughout the lifecycle of the existing building in case of application of solar thermal collectors’ on the building envelope, as well as a comparative analysis of obtained results. Criteria for the economic analysis include the amount of investment, energy costs and life‐cycle costs of the building. According to the adopted criteria, the most suitable models are selected. This methodological approach is generally applicable in the analysis of investments in improvement of building energy performances, while possible technical solutions and the resulting economic benefits must be carefully considered.",
journal = "Euro ELECS 2015: Latin American and European Conference on Sustainable Buildings and Communities, 21-23 July 2015, Guimarães, Portugal. Vol. 1",
title = "Economic aspect of solar thermal collectors integration into facade of multifamily residential building",
pages = "716-707",
url = "https://hdl.handle.net/21.15107/rcub_raf_419"
}

Kosić, T., Krstić-Furundžić, A.,& Grujić, M.. (2015). Economic aspect of solar thermal collectors integration into facade of multifamily residential building. in Euro ELECS 2015: Latin American and European Conference on Sustainable Buildings and Communities, 21-23 July 2015, Guimarães, Portugal. Vol. 1, 707-716.
https://hdl.handle.net/21.15107/rcub_raf_419

Kosić T, Krstić-Furundžić A, Grujić M. Economic aspect of solar thermal collectors integration into facade of multifamily residential building. in Euro ELECS 2015: Latin American and European Conference on Sustainable Buildings and Communities, 21-23 July 2015, Guimarães, Portugal. Vol. 1. 2015;:707-716.
https://hdl.handle.net/21.15107/rcub_raf_419 .

Kosić, Tatjana, Krstić-Furundžić, Aleksandra, Grujić, Marija, "Economic aspect of solar thermal collectors integration into facade of multifamily residential building" in Euro ELECS 2015: Latin American and European Conference on Sustainable Buildings and Communities, 21-23 July 2015, Guimarães, Portugal. Vol. 1 (2015):707-716,
https://hdl.handle.net/21.15107/rcub_raf_419 .

TY  - JOUR
AU  - Bajat, Branislav
AU  - Blagojević, Dragan
AU  - Kilibarda, Milan
AU  - Luković, Jelena
AU  - Tosić, Ivana
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/721
AB  - The spatial analysis of annual and seasonal temperature trends in Serbia during the period 1961-2010 was carried out using mean monthly data from 64 meteorological stations. Change year detection was achieved using cumulative sum charts. The magnitude of trends was derived from the slopes of linear trends using the least square method. The same formalism of least square method was used to assess the statistical significance of the determined trends. Maps of temperature trends were generated by applying a spatial regression method to visualize the detected tendencies. The obtained results indicate a negative temperature trend for the period before the change year except for winter and a more pronounced positive trend after the change year. Besides being more pronounced, the vast majority of trends after the change year were also clearly statistically significant. Our estimate of the average temperature trend over Serbia is in agreement with those obtained at the global and European scale. Calculated global autocorrelation statistics (Moran's I) indicate an apparent random spatial pattern of temperature trends across the Serbia for both periods before and after the change year.
PB  - Springer-Verlag Wien
T2  - Theoretical and Applied Climatology
T1  - Spatial analysis of the temperature trends in Serbia during the period 1961-2010
EP  - 301
IS  - 1-2
SP  - 289
VL  - 121
DO  - 10.1007/s00704-014-1243-7
ER  - 

@article{
author = "Bajat, Branislav and Blagojević, Dragan and Kilibarda, Milan and Luković, Jelena and Tosić, Ivana",
year = "2015",
abstract = "The spatial analysis of annual and seasonal temperature trends in Serbia during the period 1961-2010 was carried out using mean monthly data from 64 meteorological stations. Change year detection was achieved using cumulative sum charts. The magnitude of trends was derived from the slopes of linear trends using the least square method. The same formalism of least square method was used to assess the statistical significance of the determined trends. Maps of temperature trends were generated by applying a spatial regression method to visualize the detected tendencies. The obtained results indicate a negative temperature trend for the period before the change year except for winter and a more pronounced positive trend after the change year. Besides being more pronounced, the vast majority of trends after the change year were also clearly statistically significant. Our estimate of the average temperature trend over Serbia is in agreement with those obtained at the global and European scale. Calculated global autocorrelation statistics (Moran's I) indicate an apparent random spatial pattern of temperature trends across the Serbia for both periods before and after the change year.",
publisher = "Springer-Verlag Wien",
journal = "Theoretical and Applied Climatology",
title = "Spatial analysis of the temperature trends in Serbia during the period 1961-2010",
pages = "301-289",
number = "1-2",
volume = "121",
doi = "10.1007/s00704-014-1243-7"
}

Bajat, B., Blagojević, D., Kilibarda, M., Luković, J.,& Tosić, I.. (2015). Spatial analysis of the temperature trends in Serbia during the period 1961-2010. in Theoretical and Applied Climatology
Springer-Verlag Wien., 121(1-2), 289-301.
https://doi.org/10.1007/s00704-014-1243-7

Bajat B, Blagojević D, Kilibarda M, Luković J, Tosić I. Spatial analysis of the temperature trends in Serbia during the period 1961-2010. in Theoretical and Applied Climatology. 2015;121(1-2):289-301.
doi:10.1007/s00704-014-1243-7 .

Bajat, Branislav, Blagojević, Dragan, Kilibarda, Milan, Luković, Jelena, Tosić, Ivana, "Spatial analysis of the temperature trends in Serbia during the period 1961-2010" in Theoretical and Applied Climatology, 121, no. 1-2 (2015):289-301,
https://doi.org/10.1007/s00704-014-1243-7 . .

TY  - JOUR
AU  - Luković, Jelena
AU  - Blagojević, Dragan
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/726
AB  - This study examines the spatial pattern of relationships between annual, seasonal and monthly rainfall in Serbia, and the North Atlantic Oscillation (NAO) for the period of 1961-2009. The first correlation analysis between rainfall and the NAO was performed using a Pearson product-moment test. Results suggested negative, mainly statistically significant correlations at annual and winter scales as was expected. However, the highest percentage of stations showed significant result in October suggesting a strong impact of a large scale atmospheric mode throughout a wet season in Serbia. Further spatial analysis that incorporated a spatial autocorrelation statistic of correlation coefficients showed significant clustering at all temporal scales.
PB  - Elsevier
T2  - Spatial Statistics
T1  - Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia
EP  - 52
SP  - 39
VL  - 14
DO  - 10.1016/j.spasta.2015.04.007
ER  - 

@article{
author = "Luković, Jelena and Blagojević, Dragan and Kilibarda, Milan and Bajat, Branislav",
year = "2015",
abstract = "This study examines the spatial pattern of relationships between annual, seasonal and monthly rainfall in Serbia, and the North Atlantic Oscillation (NAO) for the period of 1961-2009. The first correlation analysis between rainfall and the NAO was performed using a Pearson product-moment test. Results suggested negative, mainly statistically significant correlations at annual and winter scales as was expected. However, the highest percentage of stations showed significant result in October suggesting a strong impact of a large scale atmospheric mode throughout a wet season in Serbia. Further spatial analysis that incorporated a spatial autocorrelation statistic of correlation coefficients showed significant clustering at all temporal scales.",
publisher = "Elsevier",
journal = "Spatial Statistics",
title = "Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia",
pages = "52-39",
volume = "14",
doi = "10.1016/j.spasta.2015.04.007"
}

Luković, J., Blagojević, D., Kilibarda, M.,& Bajat, B.. (2015). Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia. in Spatial Statistics
Elsevier., 14, 39-52.
https://doi.org/10.1016/j.spasta.2015.04.007

Luković J, Blagojević D, Kilibarda M, Bajat B. Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia. in Spatial Statistics. 2015;14:39-52.
doi:10.1016/j.spasta.2015.04.007 .

Luković, Jelena, Blagojević, Dragan, Kilibarda, Milan, Bajat, Branislav, "Spatial pattern of North Atlantic Oscillation impact on rainfall in Serbia" in Spatial Statistics, 14 (2015):39-52,
https://doi.org/10.1016/j.spasta.2015.04.007 . .

TY  - JOUR
AU  - Luković, Jelena
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Filipović, Dejan J.
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/699
AB  - Solar radiation is a key driving force for many natural processes. At the Earth's surface solar radiation is the result of complex interactions between the atmosphere and Earth's surface. Our study highlights the development and evaluation of a data base of potential solar radiation that is based on a digital elevation model with a resolution of 90 m over Serbia. The main aim of this paper is to map solar radiation in Serbia using digital elevation model. This is so far the finest resolution being applied and presented using this model. The final results of the potential direct, diffuse and total solar radiation as well as duration of insolation databases of Serbia are portrayed as thematic maps that can be communicated and shared easily through the cartographic web map-based service.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - High resolution grid of potential incoming solar radiation for Serbia
VL  - 19
DO  - 10.2298/TSCI150430134L
ER  - 

@article{
author = "Luković, Jelena and Bajat, Branislav and Kilibarda, Milan and Filipović, Dejan J.",
year = "2015",
abstract = "Solar radiation is a key driving force for many natural processes. At the Earth's surface solar radiation is the result of complex interactions between the atmosphere and Earth's surface. Our study highlights the development and evaluation of a data base of potential solar radiation that is based on a digital elevation model with a resolution of 90 m over Serbia. The main aim of this paper is to map solar radiation in Serbia using digital elevation model. This is so far the finest resolution being applied and presented using this model. The final results of the potential direct, diffuse and total solar radiation as well as duration of insolation databases of Serbia are portrayed as thematic maps that can be communicated and shared easily through the cartographic web map-based service.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "High resolution grid of potential incoming solar radiation for Serbia",
volume = "19",
doi = "10.2298/TSCI150430134L"
}

Luković, J., Bajat, B., Kilibarda, M.,& Filipović, D. J.. (2015). High resolution grid of potential incoming solar radiation for Serbia. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 19.
https://doi.org/10.2298/TSCI150430134L

Luković J, Bajat B, Kilibarda M, Filipović DJ. High resolution grid of potential incoming solar radiation for Serbia. in Thermal Science. 2015;19.
doi:10.2298/TSCI150430134L .

Luković, Jelena, Bajat, Branislav, Kilibarda, Milan, Filipović, Dejan J., "High resolution grid of potential incoming solar radiation for Serbia" in Thermal Science, 19 (2015),
https://doi.org/10.2298/TSCI150430134L . .

TY  - JOUR
AU  - Burić, D.
AU  - Luković, J.
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Živković, N.
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1323
AB  - More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period between 1951 and 2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivošije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals in order to identify trends and possible changes. A spatial pattern relationship between extreme rainfall indices and the North Atlantic Oscillation has also been examined. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased, particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. The examined rainfall indices and North Atlantic Oscillation over Montenegro seemed to be directly linked to changes in one of the major large-scale circulation modes such as the NAO pattern that is particularly evident during the winter season.
T2  - Natural Hazards and Earth System Sciences
T1  - Recent trends in daily rainfall extremes over Montenegro (1951–2010)
EP  - 2077
IS  - 9
SP  - 2069
VL  - 15
DO  - 10.5194/nhess-15-2069-2015
ER  - 

@article{
author = "Burić, D. and Luković, J. and Bajat, Branislav and Kilibarda, Milan and Živković, N.",
year = "2015",
abstract = "More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period between 1951 and 2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivošije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals in order to identify trends and possible changes. A spatial pattern relationship between extreme rainfall indices and the North Atlantic Oscillation has also been examined. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased, particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. The examined rainfall indices and North Atlantic Oscillation over Montenegro seemed to be directly linked to changes in one of the major large-scale circulation modes such as the NAO pattern that is particularly evident during the winter season.",
journal = "Natural Hazards and Earth System Sciences",
title = "Recent trends in daily rainfall extremes over Montenegro (1951–2010)",
pages = "2077-2069",
number = "9",
volume = "15",
doi = "10.5194/nhess-15-2069-2015"
}

Burić, D., Luković, J., Bajat, B., Kilibarda, M.,& Živković, N.. (2015). Recent trends in daily rainfall extremes over Montenegro (1951–2010). in Natural Hazards and Earth System Sciences, 15(9), 2069-2077.
https://doi.org/10.5194/nhess-15-2069-2015

Burić D, Luković J, Bajat B, Kilibarda M, Živković N. Recent trends in daily rainfall extremes over Montenegro (1951–2010). in Natural Hazards and Earth System Sciences. 2015;15(9):2069-2077.
doi:10.5194/nhess-15-2069-2015 .

Burić, D., Luković, J., Bajat, Branislav, Kilibarda, Milan, Živković, N., "Recent trends in daily rainfall extremes over Montenegro (1951–2010)" in Natural Hazards and Earth System Sciences, 15, no. 9 (2015):2069-2077,
https://doi.org/10.5194/nhess-15-2069-2015 . .

TY  - CONF
AU  - Bajat, Branislav
AU  - Krunić, Nikola
AU  - Kilibarda, Milan
AU  - Sekulić, Aleksandar
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1279
PB  - University of Belgrade, Faculty of Mining and Geology, Belgrade
C3  - Procedings / 2nd Regional Symposium on Landslides in the Adriatic-Balkan Region : 2nd ReSyLAB 2015
T1  - Assessment of population vulnerability in risk analysis using dasymetric database of Serbia
EP  - 96
SP  - 93
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1279
ER  - 

@conference{
author = "Bajat, Branislav and Krunić, Nikola and Kilibarda, Milan and Sekulić, Aleksandar",
year = "2015",
publisher = "University of Belgrade, Faculty of Mining and Geology, Belgrade",
journal = "Procedings / 2nd Regional Symposium on Landslides in the Adriatic-Balkan Region : 2nd ReSyLAB 2015",
title = "Assessment of population vulnerability in risk analysis using dasymetric database of Serbia",
pages = "96-93",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1279"
}

Bajat, B., Krunić, N., Kilibarda, M.,& Sekulić, A.. (2015). Assessment of population vulnerability in risk analysis using dasymetric database of Serbia. in Procedings / 2nd Regional Symposium on Landslides in the Adriatic-Balkan Region : 2nd ReSyLAB 2015
University of Belgrade, Faculty of Mining and Geology, Belgrade., 93-96.
https://hdl.handle.net/21.15107/rcub_grafar_1279

Bajat B, Krunić N, Kilibarda M, Sekulić A. Assessment of population vulnerability in risk analysis using dasymetric database of Serbia. in Procedings / 2nd Regional Symposium on Landslides in the Adriatic-Balkan Region : 2nd ReSyLAB 2015. 2015;:93-96.
https://hdl.handle.net/21.15107/rcub_grafar_1279 .

Bajat, Branislav, Krunić, Nikola, Kilibarda, Milan, Sekulić, Aleksandar, "Assessment of population vulnerability in risk analysis using dasymetric database of Serbia" in Procedings / 2nd Regional Symposium on Landslides in the Adriatic-Balkan Region : 2nd ReSyLAB 2015 (2015):93-96,
https://hdl.handle.net/21.15107/rcub_grafar_1279 .

TY  - JOUR
AU  - Burić, D.
AU  - Luković, Jelena
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Živković, N.
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/720
AB  - More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period between 1951 and 2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivosije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals in order to identify trends and possible changes. A spatial pattern relationship between extreme rainfall indices and the North Atlantic Oscillation has also been examined. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased, particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. The examined rainfall indices and North Atlantic Oscillation over Montenegro seemed to be directly linked to changes in one of the major large-scale circulation modes such as the NAO pattern that is particularly evident during the winter season.
PB  - Copernicus GmbH
T2  - Natural Hazards and Earth System Sciences
T1  - Recent trends in daily rainfall extremes over Montenegro (1951-2010)
EP  - 2077
IS  - 9
SP  - 2069
VL  - 15
DO  - 10.5194/nhess-15-2069-2015
ER  - 

@article{
author = "Burić, D. and Luković, Jelena and Bajat, Branislav and Kilibarda, Milan and Živković, N.",
year = "2015",
abstract = "More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in Montenegro for the period between 1951 and 2010. Montenegro has been poorly studied in terms of rainfall extremes, yet it contains the wettest Mediterranean region known as Krivosije. Several indices of precipitation extremes were assessed including the number of dry days and rainfall totals in order to identify trends and possible changes. A spatial pattern relationship between extreme rainfall indices and the North Atlantic Oscillation has also been examined. The results generally suggest that the number of days with precipitation decreased while rainfall intensity increased, particularly in south-western parts of the country. A slight tendency towards intense rainfall events is suggested. The examined rainfall indices and North Atlantic Oscillation over Montenegro seemed to be directly linked to changes in one of the major large-scale circulation modes such as the NAO pattern that is particularly evident during the winter season.",
publisher = "Copernicus GmbH",
journal = "Natural Hazards and Earth System Sciences",
title = "Recent trends in daily rainfall extremes over Montenegro (1951-2010)",
pages = "2077-2069",
number = "9",
volume = "15",
doi = "10.5194/nhess-15-2069-2015"
}

Burić, D., Luković, J., Bajat, B., Kilibarda, M.,& Živković, N.. (2015). Recent trends in daily rainfall extremes over Montenegro (1951-2010). in Natural Hazards and Earth System Sciences
Copernicus GmbH., 15(9), 2069-2077.
https://doi.org/10.5194/nhess-15-2069-2015

Burić D, Luković J, Bajat B, Kilibarda M, Živković N. Recent trends in daily rainfall extremes over Montenegro (1951-2010). in Natural Hazards and Earth System Sciences. 2015;15(9):2069-2077.
doi:10.5194/nhess-15-2069-2015 .

Burić, D., Luković, Jelena, Bajat, Branislav, Kilibarda, Milan, Živković, N., "Recent trends in daily rainfall extremes over Montenegro (1951-2010)" in Natural Hazards and Earth System Sciences, 15, no. 9 (2015):2069-2077,
https://doi.org/10.5194/nhess-15-2069-2015 . .

TY  - JOUR
AU  - Kilibarda, Milan
AU  - Tadić-Percec, Melita
AU  - Hengl, Tomislav
AU  - Luković, Jelena
AU  - Bajat, Branislav
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/695
AB  - This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and
PB  - Elsevier
T2  - Spatial Statistics
T1  - Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation
EP  - 38
SP  - 22
VL  - 14
DO  - 10.1016/j.spasta.2015.04.005
ER  - 

@article{
author = "Kilibarda, Milan and Tadić-Percec, Melita and Hengl, Tomislav and Luković, Jelena and Bajat, Branislav",
year = "2015",
abstract = "This article highlights the results of an assessment of representation and usability of global temperature station data for global spatio-temporal analysis. Datasets from the Global Surface Summary of Day (GSOD) and the European Climate Assessment & Dataset (ECA&D) were merged and consisted of 10,695 global stations for the year 2011. Three aspects of data quality were considered: (a) representation in the geographical domain, (b) representation in the feature space (based on the MaxEnt method), and",
publisher = "Elsevier",
journal = "Spatial Statistics",
title = "Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation",
pages = "38-22",
volume = "14",
doi = "10.1016/j.spasta.2015.04.005"
}

Kilibarda, M., Tadić-Percec, M., Hengl, T., Luković, J.,& Bajat, B.. (2015). Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation. in Spatial Statistics
Elsevier., 14, 22-38.
https://doi.org/10.1016/j.spasta.2015.04.005

Kilibarda M, Tadić-Percec M, Hengl T, Luković J, Bajat B. Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation. in Spatial Statistics. 2015;14:22-38.
doi:10.1016/j.spasta.2015.04.005 .

Kilibarda, Milan, Tadić-Percec, Melita, Hengl, Tomislav, Luković, Jelena, Bajat, Branislav, "Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation" in Spatial Statistics, 14 (2015):22-38,
https://doi.org/10.1016/j.spasta.2015.04.005 . .

TY  - JOUR
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
AU  - Branisavljević, Nemanja
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/627
AB  - International Cartographic CBOs (International Cartographic Association-ICA) in partnership with the Open Source Geospatial Foundation-OSGeo has started the initiative ICA-OSGeo Labs to promote and use open source technologies in education and research. For many years, the use and development of the open source software and technologies have been present in the field of research and education at the Faculty of Civil Engineering at the Department of Geodesy and Geoinformatics, University of Belgrade. Additionally, at the University of Belgrade, Faculty of Civil Engineering a laboratory called 'Laboratory for development of the open source geospatial technologies - OSGL' has recently been established. This paper presents the current experience of the lab members in using the open source software in geoinformatics, research and education as well as the perspectives and future activities of the newly formed laboratory.
PB  - Savez geodeta Srbije, Beograd
T2  - Geonauka
T1  - Laboratory for development of open source geospatial technologies: Role in education and research
EP  - 11
IS  - 2
SP  - 6
VL  - 2
DO  - 10.14438/gn.2014.10
ER  - 

@article{
author = "Kilibarda, Milan and Bajat, Branislav and Branisavljević, Nemanja",
year = "2014",
abstract = "International Cartographic CBOs (International Cartographic Association-ICA) in partnership with the Open Source Geospatial Foundation-OSGeo has started the initiative ICA-OSGeo Labs to promote and use open source technologies in education and research. For many years, the use and development of the open source software and technologies have been present in the field of research and education at the Faculty of Civil Engineering at the Department of Geodesy and Geoinformatics, University of Belgrade. Additionally, at the University of Belgrade, Faculty of Civil Engineering a laboratory called 'Laboratory for development of the open source geospatial technologies - OSGL' has recently been established. This paper presents the current experience of the lab members in using the open source software in geoinformatics, research and education as well as the perspectives and future activities of the newly formed laboratory.",
publisher = "Savez geodeta Srbije, Beograd",
journal = "Geonauka",
title = "Laboratory for development of open source geospatial technologies: Role in education and research",
pages = "11-6",
number = "2",
volume = "2",
doi = "10.14438/gn.2014.10"
}

Kilibarda, M., Bajat, B.,& Branisavljević, N.. (2014). Laboratory for development of open source geospatial technologies: Role in education and research. in Geonauka
Savez geodeta Srbije, Beograd., 2(2), 6-11.
https://doi.org/10.14438/gn.2014.10

Kilibarda M, Bajat B, Branisavljević N. Laboratory for development of open source geospatial technologies: Role in education and research. in Geonauka. 2014;2(2):6-11.
doi:10.14438/gn.2014.10 .

Kilibarda, Milan, Bajat, Branislav, Branisavljević, Nemanja, "Laboratory for development of open source geospatial technologies: Role in education and research" in Geonauka, 2, no. 2 (2014):6-11,
https://doi.org/10.14438/gn.2014.10 . .

TY  - JOUR
AU  - Luković, Jelena
AU  - Bajat, Branislav
AU  - Blagojević, Dragan
AU  - Kilibarda, Milan
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/616
AB  - This paper examines a spatial pattern of annual, seasonal and monthly rainfall trends in Serbia. The study used data from 63 weather stations between the period of 1961-2009. The rainfall series was examined by applying the nonparametric method of the Mann-Kendall test and Sen's method to determine the significance and magnitude of the trends. Significant trends have not been detected for the whole country at an annual scale. Seasonal trends at the confidence level of 97.5 %, however, indicate a slight decrease in winter (5 stations out of 63) and spring (7 stations out of 63) precipitation and an increase in autumn precipitation (10 stations out of 63). Results for monthly rainfall trends also generally showed a nonsignificant trend with the exception of a negative trend in May (6 stations out of 63) and positive trend for October (9 stations out of 63). Calculated global autocorrelation statistics (Moran's I) indicate a random spatial pattern of rainfall trends on annual, seasonal and monthly timescales with exceptions for March, June and November. Overall, results suggest that only weak, mostly nonsignificant trends are present in Serbia in the period 1961-2009.
PB  - Springer Verlag
T2  - Regional Environmental Change
T1  - Spatial pattern of recent rainfall trends in Serbia (1961-2009)
EP  - 1799
IS  - 5
SP  - 1789
VL  - 14
DO  - 10.1007/s10113-013-0459-x
ER  - 

@article{
author = "Luković, Jelena and Bajat, Branislav and Blagojević, Dragan and Kilibarda, Milan",
year = "2014",
abstract = "This paper examines a spatial pattern of annual, seasonal and monthly rainfall trends in Serbia. The study used data from 63 weather stations between the period of 1961-2009. The rainfall series was examined by applying the nonparametric method of the Mann-Kendall test and Sen's method to determine the significance and magnitude of the trends. Significant trends have not been detected for the whole country at an annual scale. Seasonal trends at the confidence level of 97.5 %, however, indicate a slight decrease in winter (5 stations out of 63) and spring (7 stations out of 63) precipitation and an increase in autumn precipitation (10 stations out of 63). Results for monthly rainfall trends also generally showed a nonsignificant trend with the exception of a negative trend in May (6 stations out of 63) and positive trend for October (9 stations out of 63). Calculated global autocorrelation statistics (Moran's I) indicate a random spatial pattern of rainfall trends on annual, seasonal and monthly timescales with exceptions for March, June and November. Overall, results suggest that only weak, mostly nonsignificant trends are present in Serbia in the period 1961-2009.",
publisher = "Springer Verlag",
journal = "Regional Environmental Change",
title = "Spatial pattern of recent rainfall trends in Serbia (1961-2009)",
pages = "1799-1789",
number = "5",
volume = "14",
doi = "10.1007/s10113-013-0459-x"
}

Luković, J., Bajat, B., Blagojević, D.,& Kilibarda, M.. (2014). Spatial pattern of recent rainfall trends in Serbia (1961-2009). in Regional Environmental Change
Springer Verlag., 14(5), 1789-1799.
https://doi.org/10.1007/s10113-013-0459-x

Luković J, Bajat B, Blagojević D, Kilibarda M. Spatial pattern of recent rainfall trends in Serbia (1961-2009). in Regional Environmental Change. 2014;14(5):1789-1799.
doi:10.1007/s10113-013-0459-x .

Luković, Jelena, Bajat, Branislav, Blagojević, Dragan, Kilibarda, Milan, "Spatial pattern of recent rainfall trends in Serbia (1961-2009)" in Regional Environmental Change, 14, no. 5 (2014):1789-1799,
https://doi.org/10.1007/s10113-013-0459-x . .

TY  - CONF
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Pejović, Milutin
AU  - Samardžić-Petrović, Mileva
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1227
PB  - Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb ; Faculty of Civil Engineering, University of Rijeka, Zagreb ; Rijeka
C3  - Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region
T1  - The Preliminary Damage Assessment of Properties Based on Massive Appraisal Maps
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1227
ER  - 

@conference{
author = "Bajat, Branislav and Kilibarda, Milan and Pejović, Milutin and Samardžić-Petrović, Mileva",
year = "2014",
publisher = "Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb ; Faculty of Civil Engineering, University of Rijeka, Zagreb ; Rijeka",
journal = "Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region",
title = "The Preliminary Damage Assessment of Properties Based on Massive Appraisal Maps",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1227"
}

Bajat, B., Kilibarda, M., Pejović, M.,& Samardžić-Petrović, M.. (2014). The Preliminary Damage Assessment of Properties Based on Massive Appraisal Maps. in Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region
Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb ; Faculty of Civil Engineering, University of Rijeka, Zagreb ; Rijeka..
https://hdl.handle.net/21.15107/rcub_grafar_1227

Bajat B, Kilibarda M, Pejović M, Samardžić-Petrović M. The Preliminary Damage Assessment of Properties Based on Massive Appraisal Maps. in Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region. 2014;.
https://hdl.handle.net/21.15107/rcub_grafar_1227 .

Bajat, Branislav, Kilibarda, Milan, Pejović, Milutin, Samardžić-Petrović, Mileva, "The Preliminary Damage Assessment of Properties Based on Massive Appraisal Maps" in Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region (2014),
https://hdl.handle.net/21.15107/rcub_grafar_1227 .

TY  - CONF
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
AU  - Hengl, Tomislav
AU  - Pejović, Milutin
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1130
PB  - Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna
C3  - Extended Abstract Proceedings of the GIScience 2014, 23-26 September, Vienna, Austria
T1  - Meteo: package for automated meteorological spatiotemporal mapping
EP  - 327
SP  - 323
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1130
ER  - 

@conference{
author = "Kilibarda, Milan and Bajat, Branislav and Hengl, Tomislav and Pejović, Milutin",
year = "2014",
publisher = "Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna",
journal = "Extended Abstract Proceedings of the GIScience 2014, 23-26 September, Vienna, Austria",
title = "Meteo: package for automated meteorological spatiotemporal mapping",
pages = "327-323",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1130"
}

Kilibarda, M., Bajat, B., Hengl, T.,& Pejović, M.. (2014). Meteo: package for automated meteorological spatiotemporal mapping. in Extended Abstract Proceedings of the GIScience 2014, 23-26 September, Vienna, Austria
Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna., 323-327.
https://hdl.handle.net/21.15107/rcub_grafar_1130

Kilibarda M, Bajat B, Hengl T, Pejović M. Meteo: package for automated meteorological spatiotemporal mapping. in Extended Abstract Proceedings of the GIScience 2014, 23-26 September, Vienna, Austria. 2014;:323-327.
https://hdl.handle.net/21.15107/rcub_grafar_1130 .

Kilibarda, Milan, Bajat, Branislav, Hengl, Tomislav, Pejović, Milutin, "Meteo: package for automated meteorological spatiotemporal mapping" in Extended Abstract Proceedings of the GIScience 2014, 23-26 September, Vienna, Austria (2014):323-327,
https://hdl.handle.net/21.15107/rcub_grafar_1130 .

TY  - JOUR
AU  - Protić, Dragutin
AU  - Nestorov, Ivan
AU  - Vučetić, Ivan
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/625
AB  - i-SCOPE pilot project, funded by the European Commission through the CIP-ICT-PSP program, aims to develop an open source toolkit for 3D 'smart City' services in three different domains: improved inclusion and personal mobility, solar energy potential assessment, noise mapping and simulation. The services are expected to improve life and work of its users. The services are built upon 3D Urban Information Models (UIM) that are based on cityGML format providing the necessary standardization and interoperability. Generation, enrichment and management of the 3D city model is a part of the i-SCOPE services. The paper shows the importance of the comprehensive and interoperable 3D city models for building the 'smart city' services.
PB  - Savez geodeta Srbije, Beograd
T2  - Geonauka
T1  - 3D Urban Information Models in making a 'smart city': The i-SCOPE project case study
EP  - 16
IS  - 3
SP  - 12
VL  - 2
DO  - 10.14438/gn.2014.17
ER  - 

@article{
author = "Protić, Dragutin and Nestorov, Ivan and Vučetić, Ivan",
year = "2014",
abstract = "i-SCOPE pilot project, funded by the European Commission through the CIP-ICT-PSP program, aims to develop an open source toolkit for 3D 'smart City' services in three different domains: improved inclusion and personal mobility, solar energy potential assessment, noise mapping and simulation. The services are expected to improve life and work of its users. The services are built upon 3D Urban Information Models (UIM) that are based on cityGML format providing the necessary standardization and interoperability. Generation, enrichment and management of the 3D city model is a part of the i-SCOPE services. The paper shows the importance of the comprehensive and interoperable 3D city models for building the 'smart city' services.",
publisher = "Savez geodeta Srbije, Beograd",
journal = "Geonauka",
title = "3D Urban Information Models in making a 'smart city': The i-SCOPE project case study",
pages = "16-12",
number = "3",
volume = "2",
doi = "10.14438/gn.2014.17"
}

Protić, D., Nestorov, I.,& Vučetić, I.. (2014). 3D Urban Information Models in making a 'smart city': The i-SCOPE project case study. in Geonauka
Savez geodeta Srbije, Beograd., 2(3), 12-16.
https://doi.org/10.14438/gn.2014.17

Protić D, Nestorov I, Vučetić I. 3D Urban Information Models in making a 'smart city': The i-SCOPE project case study. in Geonauka. 2014;2(3):12-16.
doi:10.14438/gn.2014.17 .

Protić, Dragutin, Nestorov, Ivan, Vučetić, Ivan, "3D Urban Information Models in making a 'smart city': The i-SCOPE project case study" in Geonauka, 2, no. 3 (2014):12-16,
https://doi.org/10.14438/gn.2014.17 . .

TY  - JOUR
AU  - Kilibarda, Milan
AU  - Hengl, Tomislav
AU  - Heuvelink, Gerard B. M.
AU  - Graeler, Benedikt
AU  - Pebesma, Edzer
AU  - Tadić-Percec, Melita
AU  - Bajat, Branislav
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/639
AB  - Combined Global Surface Summary of Day and European Climate Assessment and Dataset daily meteorological data sets (around 9000 stations) were used to build spatio-temporal geostatistical models and predict daily air temperature at ground resolution of 1km for the global land mass. Predictions in space and time were made for the mean, maximum, and minimum temperatures using spatio-temporal regression-kriging with a time series of Moderate Resolution Imaging Spectroradiometer (MODIS) 8 day images, topographic layers (digital elevation model and topographic wetness index), and a geometric temperature trend as covariates. The accuracy of predicting daily temperatures was assessed using leave-one-out cross validation. To account for geographical point clustering of station data and get a more representative cross-validation accuracy, predicted values were aggregated to blocks of land of size 500x500km. Results show that the average accuracy for predicting mean, maximum, and minimum daily temperatures is root-mean-square error (RMSE) =2 degrees C for areas densely covered with stations and between 2 degrees C and 4 degrees C for areas with lower station density. The lowest prediction accuracy was observed at high altitudes (>1000m) and in Antarctica with an RMSE around 6 degrees C. The model and predictions were built for the year 2011 only, but the same methodology could be extended for the whole range of the MODIS land surface temperature images (2001 to today), i.e., to produce global archives of daily temperatures (a next-generation repository) and to feed various global environmental models. Key Points  Global spatio-temporal regression-kriging daily temperature interpolation   Fitting of global spatio-temporal models for the mean, maximum, and minimum temperatures   Time series of MODIS 8 day images as explanatory variables in regression part
PB  - Wiley-Blackwell
T2  - Journal of Geophysical Research-Atmospheres
T1  - Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution
EP  - 2313
IS  - 5
SP  - 2294
VL  - 119
DO  - 10.1002/2013JD020803
ER  - 

@article{
author = "Kilibarda, Milan and Hengl, Tomislav and Heuvelink, Gerard B. M. and Graeler, Benedikt and Pebesma, Edzer and Tadić-Percec, Melita and Bajat, Branislav",
year = "2014",
abstract = "Combined Global Surface Summary of Day and European Climate Assessment and Dataset daily meteorological data sets (around 9000 stations) were used to build spatio-temporal geostatistical models and predict daily air temperature at ground resolution of 1km for the global land mass. Predictions in space and time were made for the mean, maximum, and minimum temperatures using spatio-temporal regression-kriging with a time series of Moderate Resolution Imaging Spectroradiometer (MODIS) 8 day images, topographic layers (digital elevation model and topographic wetness index), and a geometric temperature trend as covariates. The accuracy of predicting daily temperatures was assessed using leave-one-out cross validation. To account for geographical point clustering of station data and get a more representative cross-validation accuracy, predicted values were aggregated to blocks of land of size 500x500km. Results show that the average accuracy for predicting mean, maximum, and minimum daily temperatures is root-mean-square error (RMSE) =2 degrees C for areas densely covered with stations and between 2 degrees C and 4 degrees C for areas with lower station density. The lowest prediction accuracy was observed at high altitudes (>1000m) and in Antarctica with an RMSE around 6 degrees C. The model and predictions were built for the year 2011 only, but the same methodology could be extended for the whole range of the MODIS land surface temperature images (2001 to today), i.e., to produce global archives of daily temperatures (a next-generation repository) and to feed various global environmental models. Key Points  Global spatio-temporal regression-kriging daily temperature interpolation   Fitting of global spatio-temporal models for the mean, maximum, and minimum temperatures   Time series of MODIS 8 day images as explanatory variables in regression part",
publisher = "Wiley-Blackwell",
journal = "Journal of Geophysical Research-Atmospheres",
title = "Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution",
pages = "2313-2294",
number = "5",
volume = "119",
doi = "10.1002/2013JD020803"
}

Kilibarda, M., Hengl, T., Heuvelink, G. B. M., Graeler, B., Pebesma, E., Tadić-Percec, M.,& Bajat, B.. (2014). Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution. in Journal of Geophysical Research-Atmospheres
Wiley-Blackwell., 119(5), 2294-2313.
https://doi.org/10.1002/2013JD020803

Kilibarda M, Hengl T, Heuvelink GBM, Graeler B, Pebesma E, Tadić-Percec M, Bajat B. Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution. in Journal of Geophysical Research-Atmospheres. 2014;119(5):2294-2313.
doi:10.1002/2013JD020803 .

Kilibarda, Milan, Hengl, Tomislav, Heuvelink, Gerard B. M., Graeler, Benedikt, Pebesma, Edzer, Tadić-Percec, Melita, Bajat, Branislav, "Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution" in Journal of Geophysical Research-Atmospheres, 119, no. 5 (2014):2294-2313,
https://doi.org/10.1002/2013JD020803 . .

TY  - CONF
AU  - Krstic-Furundzic, Aleksandra
AU  - Kosić, Tatjana
AU  - Grujić, Marija D.
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3314
AB  - Mnoga prigradska naselja su izgrađena u Beogradu posle Drugog svetskog rata. Zbog loših energetskih performansi, prisutna je visoka potrošnja energije za grejanje i hladjenje i emisija CO2. Jedan od predstavnika takve stambene arhitekture je naselje Konjarnik. Procena različitih scenarija za poboljšanje energetskih karakteristika montažnih višeporodičnih objekata u Konjarniku je sprovedena u radu. Hipotetički modeli unapređenja energetskih performansi omotača postojeće zgrade su kreirani u cilju smanjenja energetskih zahteva za grejanje, a time i smanjenja emisije CO2. Analizom troškova održavanja kroz životni ciklus zgrade procenjena je efikasnost mera obnove u pogledu izvodljivosti, ekonomičnosti i uticaja na životnu sredinu.
PB  - Udruženje inženjera gradjevinarstva, geotehnike, arhitekture i urbanista, časopis “Izgradnja” i Univerzitet u Beogradu, Građevinski fakultet
C3  - Zbornik radova: Savetovanje Savremeni materijali i postupci sanacije gradjevinskih objekata. Beograd, 26. novembar 2013
T1  - Energetski aspekt obnove prefabrikovanih stambenih objekata u Beogradu
EP  - 96
SP  - 81
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3314
ER  - 

@conference{
author = "Krstic-Furundzic, Aleksandra and Kosić, Tatjana and Grujić, Marija D.",
year = "2013",
abstract = "Mnoga prigradska naselja su izgrađena u Beogradu posle Drugog svetskog rata. Zbog loših energetskih performansi, prisutna je visoka potrošnja energije za grejanje i hladjenje i emisija CO2. Jedan od predstavnika takve stambene arhitekture je naselje Konjarnik. Procena različitih scenarija za poboljšanje energetskih karakteristika montažnih višeporodičnih objekata u Konjarniku je sprovedena u radu. Hipotetički modeli unapređenja energetskih performansi omotača postojeće zgrade su kreirani u cilju smanjenja energetskih zahteva za grejanje, a time i smanjenja emisije CO2. Analizom troškova održavanja kroz životni ciklus zgrade procenjena je efikasnost mera obnove u pogledu izvodljivosti, ekonomičnosti i uticaja na životnu sredinu.",
publisher = "Udruženje inženjera gradjevinarstva, geotehnike, arhitekture i urbanista, časopis “Izgradnja” i Univerzitet u Beogradu, Građevinski fakultet",
journal = "Zbornik radova: Savetovanje Savremeni materijali i postupci sanacije gradjevinskih objekata. Beograd, 26. novembar 2013",
title = "Energetski aspekt obnove prefabrikovanih stambenih objekata u Beogradu",
pages = "96-81",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3314"
}

Krstic-Furundzic, A., Kosić, T.,& Grujić, M. D.. (2013). Energetski aspekt obnove prefabrikovanih stambenih objekata u Beogradu. in Zbornik radova: Savetovanje Savremeni materijali i postupci sanacije gradjevinskih objekata. Beograd, 26. novembar 2013
Udruženje inženjera gradjevinarstva, geotehnike, arhitekture i urbanista, časopis “Izgradnja” i Univerzitet u Beogradu, Građevinski fakultet., 81-96.
https://hdl.handle.net/21.15107/rcub_grafar_3314

Krstic-Furundzic A, Kosić T, Grujić MD. Energetski aspekt obnove prefabrikovanih stambenih objekata u Beogradu. in Zbornik radova: Savetovanje Savremeni materijali i postupci sanacije gradjevinskih objekata. Beograd, 26. novembar 2013. 2013;:81-96.
https://hdl.handle.net/21.15107/rcub_grafar_3314 .

Krstic-Furundzic, Aleksandra, Kosić, Tatjana, Grujić, Marija D., "Energetski aspekt obnove prefabrikovanih stambenih objekata u Beogradu" in Zbornik radova: Savetovanje Savremeni materijali i postupci sanacije gradjevinskih objekata. Beograd, 26. novembar 2013 (2013):81-96,
https://hdl.handle.net/21.15107/rcub_grafar_3314 .

TY  - JOUR
AU  - Bajat, Branislav
AU  - Krunić, Nikola
AU  - Samardžić-Petrović, Mileva
AU  - Kilibarda, Milan
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/541
AB  - Solving the problem of publicly available census data disaggregation has preoccupied numerous researchers intensively A noteworthy advance in the methodology was made thanks to the contemporary storage and presentation of spatial and socio-economic data in the GIS environment. It is also important that a large number of auxiliary databases (satellite images, theme layers pertaining to land use and land cover, etc.) are publicly available and are periodically supplemented at increasingly shorter time intervals. Soil sealing databases are another class of auxiliary databases that pertain to land areas which have, due to anthropogenic influences, become a water-impermeable layer and indicate the level of spatial development and spatial contents that correlate to the population distribution. The soil sealing database can be a useful tool for dasymetric mapping of population when combined with town planning documentation that describes land use and height of residential buildings. The results of such mapping can help monitor the spatio-temporal dynamics of population trends in periods between two censuses. This study presents a methodology in which a soil-sealing database is combined with auxiliary data in a test area covered by the Master Plan of the Belgrade City, with census data from the year 2002 and the results of the year 2011. The results of the model validation indicate application of the proposed methodology in highly urbanised areas.
T2  - Geodetski vestnik
T1  - Dasymetric modelling of population dynamics in urban areas
EP  - 792
IS  - 4
SP  - 777
VL  - 57
DO  - 10.15292/geodetski-vestnik.2013.04.777-792
ER  - 

@article{
author = "Bajat, Branislav and Krunić, Nikola and Samardžić-Petrović, Mileva and Kilibarda, Milan",
year = "2013",
abstract = "Solving the problem of publicly available census data disaggregation has preoccupied numerous researchers intensively A noteworthy advance in the methodology was made thanks to the contemporary storage and presentation of spatial and socio-economic data in the GIS environment. It is also important that a large number of auxiliary databases (satellite images, theme layers pertaining to land use and land cover, etc.) are publicly available and are periodically supplemented at increasingly shorter time intervals. Soil sealing databases are another class of auxiliary databases that pertain to land areas which have, due to anthropogenic influences, become a water-impermeable layer and indicate the level of spatial development and spatial contents that correlate to the population distribution. The soil sealing database can be a useful tool for dasymetric mapping of population when combined with town planning documentation that describes land use and height of residential buildings. The results of such mapping can help monitor the spatio-temporal dynamics of population trends in periods between two censuses. This study presents a methodology in which a soil-sealing database is combined with auxiliary data in a test area covered by the Master Plan of the Belgrade City, with census data from the year 2002 and the results of the year 2011. The results of the model validation indicate application of the proposed methodology in highly urbanised areas.",
journal = "Geodetski vestnik",
title = "Dasymetric modelling of population dynamics in urban areas",
pages = "792-777",
number = "4",
volume = "57",
doi = "10.15292/geodetski-vestnik.2013.04.777-792"
}

Bajat, B., Krunić, N., Samardžić-Petrović, M.,& Kilibarda, M.. (2013). Dasymetric modelling of population dynamics in urban areas. in Geodetski vestnik, 57(4), 777-792.
https://doi.org/10.15292/geodetski-vestnik.2013.04.777-792

Bajat B, Krunić N, Samardžić-Petrović M, Kilibarda M. Dasymetric modelling of population dynamics in urban areas. in Geodetski vestnik. 2013;57(4):777-792.
doi:10.15292/geodetski-vestnik.2013.04.777-792 .

Bajat, Branislav, Krunić, Nikola, Samardžić-Petrović, Mileva, Kilibarda, Milan, "Dasymetric modelling of population dynamics in urban areas" in Geodetski vestnik, 57, no. 4 (2013):777-792,
https://doi.org/10.15292/geodetski-vestnik.2013.04.777-792 . .

TY  - THES
AU  - Protić, Dragutin
PY  - 2013
UR  - http://eteze.bg.ac.rs/application/showtheses?thesesId=1691
UR  - https://fedorabg.bg.ac.rs/fedora/get/o:9239/bdef:Content/download
UR  - http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=513346194
UR  - http://nardus.mpn.gov.rs/123456789/2202
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1693
AB  - Изазови повезани са стањем животне средине и климатским променамазначајно повећавају потребу различитих дисциплина за адекватним подацима иинформацијама које имају просторну и временску димензију. Ове потребе се могузадовољити искључиво кроз програме оперативног мониторина земљишта којиукључују картирање земљишног покривача. Оперативни систем за мониторингземљишта захтева интегрисано коришћење прикупљених података, њиховуефикасну и континуирану трансформацију у корисне стандардизоване иправовремене информације, њихову асимилацију у моделе и њихово коришћење упроценама, креирању политике и системима за подршку одлучивању. Тренутнодоминантна парадигма картирања земљишног покривача се заснива на системимаквалитативне класификације при чему се простор дели у ентитете који сепридужују класама из претходно установљеног система класификације. Основнипроблем традиционалних методологија картирања земљишног покривача лежи учињеници да су изведене информације, као производ класификације, подложнеконцептуализацији како креатора тако и корисника при чему се често овеконцептуализације не поклапају. Хармонизације и стандардизације картирањаземљишног покривача као покушаји да се дође до јединствене концептуалнеравни не могу суштински да премосте овај проблем. Решење се може тражити уквантитативном моделирању земљишног покривача.Предмет истраживања ове дисертације представљају концепт, захтеви имогућности квантитативног картографског моделирања земљишног покривача уусловима изражене потребе за одговарајућим, квалитетним и ажурниминформацијама о животној средини и природним ресурсима. Како оптичкисателитски сензори представљају основни извор података за генерисањеинформација о земљишном покривачу, истраживање је фокусирано на квалитетподатака сателитског осматрања Земље као и квалитет метода моделирањаквантитативних параметара које служе за описивање карактеристика појаваземљишног покривача.Као средства квантитативног описивања основних категорија земљишногпокривача: вегетације, воде, земљишта и вештачких површина, анализирани су упракси најчешће коришћени спектрални индекси и биофизички параметри.Спектрални индекси су погодни у квантитативном моделирању јер су директнафункција сателитских података, али како они не представљају апсолутнебиофизичке карактеристике појава, њихова интерпретација је честопроблематична, посебно при описивању вегетације као најкомплекснијекатегорије. Са друге стране, моделирање биофизичких параметара представљаизазов. Једноставни емпиријски модели оцене биофизичких параметара изспектралних индекса оптерећени су значајном несигурношћу због чега нисупогодни за оперативну употребу. Детерминистички (физички) модели оценебиофизичких параметара представљају добру теоријску основу за оперативнокартирање, али је потребно познавање њихове несигурности. Посебан фокус јестављен на експериментално испитивање несигурности физички моделиранихбиофизичких параметара за описивање вегетације као најкомплексније категоријеземљишног покривача и то у зависности од различитих извора несигурности...
AB  - Challenges related to environment and climate changes significantly increasedemands of various disciplines for appropriate data and information that are spatial innature. These needs can be fulfilled only through the programmes of operational landmonitoring that include land cover mapping. An operational system for land monitoringrequires integrated use of observations, their efficient and continual transformation intouseful, standardized and timely information, their assimilation into models and theirapplication in assessments, policy and decision making. The current dominant paradigmof land cover mapping is based on qualitative classification systems that separate thespace into entities to which classes are then assigned. The major problem of thetraditional land cover mapping methodologies lies in the fact that the extractedinformation, being products of classification, are subject to conceptualization of boththe producers and the users. However, they do not often match. Initiatives forharmonization and standardization of land cover mapping are attempts to reach acommon conceptual platform. Nevertheless, these solutions cannot essentially overcomethe problem. The premise of this research is that the solution could be found inquantitative land cover modeling.The objective of the research is concept, requirements and possibilities ofquantitative cartographic land cover modeling under conditions of increased demand forappropriate, quality and up-to-date information on the environment and naturalresources. Since the optical satellite sensors are the primary data source for generatingthe land cover information, the research was focused on quality of both the Earthobservation data and the methods of quantitative parameters modeling that serve for thedescription of land features’ characteristics.The most often used spectral indices and biophysical parameters that areconsidered instruments for quantitative description of basic land cover categories(vegetation, water, land and artificial surfaces) are analyzed. Spectral indices aresuitable for quantitative modeling because they are direct function of satellite data.However, as they do not represent absolute biophysical characteristics of features, theirinterpretation is often problematic, especially in the case of describing vegetation as themost complex category. On the other hand, modeling of biophysical parameters is achallenge. Simple empirical models of biophysical parameters’ estimation from spectralindices are connected with significant uncertainty which makes them inappropriate foroperational use. Deterministic (physical) models of biophysical parameters’ estimationare good theoretical basis for the operational mapping, but knowledge of the uncertaintyis necessary. Special attention was paid to experimental assessment of uncertainty ofphysically modeled biophysical parameters of vegetation in terms of various uncertaintysources.The concept of operational quantitative land cover monitoring is also analyzedfrom the aspect of spectral and spatial heterogeneity of the Earth observation data. Asystem of organizing data and information by use of multiscale hierarchical referencegrid is introduced with the grid structure adjusted to the major operational opticalmultispectral satellite sensors. Such a system enables the optimal use of available dataand the possibility to apply object oriented analysis...
PB  - Универзитет у Београду, Грађевински факултет
T2  - Универзитет у Београду
T1  - Квантитативно картографско моделирање земљишног покривача
T1  - Quantitative cartographic land cover modeling
UR  - https://hdl.handle.net/21.15107/rcub_nardus_2202
ER  - 

@phdthesis{
author = "Protić, Dragutin",
year = "2013",
abstract = "Изазови повезани са стањем животне средине и климатским променамазначајно повећавају потребу различитих дисциплина за адекватним подацима иинформацијама које имају просторну и временску димензију. Ове потребе се могузадовољити искључиво кроз програме оперативног мониторина земљишта којиукључују картирање земљишног покривача. Оперативни систем за мониторингземљишта захтева интегрисано коришћење прикупљених података, њиховуефикасну и континуирану трансформацију у корисне стандардизоване иправовремене информације, њихову асимилацију у моделе и њихово коришћење упроценама, креирању политике и системима за подршку одлучивању. Тренутнодоминантна парадигма картирања земљишног покривача се заснива на системимаквалитативне класификације при чему се простор дели у ентитете који сепридужују класама из претходно установљеног система класификације. Основнипроблем традиционалних методологија картирања земљишног покривача лежи учињеници да су изведене информације, као производ класификације, подложнеконцептуализацији како креатора тако и корисника при чему се често овеконцептуализације не поклапају. Хармонизације и стандардизације картирањаземљишног покривача као покушаји да се дође до јединствене концептуалнеравни не могу суштински да премосте овај проблем. Решење се може тражити уквантитативном моделирању земљишног покривача.Предмет истраживања ове дисертације представљају концепт, захтеви имогућности квантитативног картографског моделирања земљишног покривача уусловима изражене потребе за одговарајућим, квалитетним и ажурниминформацијама о животној средини и природним ресурсима. Како оптичкисателитски сензори представљају основни извор података за генерисањеинформација о земљишном покривачу, истраживање је фокусирано на квалитетподатака сателитског осматрања Земље као и квалитет метода моделирањаквантитативних параметара које служе за описивање карактеристика појаваземљишног покривача.Као средства квантитативног описивања основних категорија земљишногпокривача: вегетације, воде, земљишта и вештачких површина, анализирани су упракси најчешће коришћени спектрални индекси и биофизички параметри.Спектрални индекси су погодни у квантитативном моделирању јер су директнафункција сателитских података, али како они не представљају апсолутнебиофизичке карактеристике појава, њихова интерпретација је честопроблематична, посебно при описивању вегетације као најкомплекснијекатегорије. Са друге стране, моделирање биофизичких параметара представљаизазов. Једноставни емпиријски модели оцене биофизичких параметара изспектралних индекса оптерећени су значајном несигурношћу због чега нисупогодни за оперативну употребу. Детерминистички (физички) модели оценебиофизичких параметара представљају добру теоријску основу за оперативнокартирање, али је потребно познавање њихове несигурности. Посебан фокус јестављен на експериментално испитивање несигурности физички моделиранихбиофизичких параметара за описивање вегетације као најкомплексније категоријеземљишног покривача и то у зависности од различитих извора несигурности..., Challenges related to environment and climate changes significantly increasedemands of various disciplines for appropriate data and information that are spatial innature. These needs can be fulfilled only through the programmes of operational landmonitoring that include land cover mapping. An operational system for land monitoringrequires integrated use of observations, their efficient and continual transformation intouseful, standardized and timely information, their assimilation into models and theirapplication in assessments, policy and decision making. The current dominant paradigmof land cover mapping is based on qualitative classification systems that separate thespace into entities to which classes are then assigned. The major problem of thetraditional land cover mapping methodologies lies in the fact that the extractedinformation, being products of classification, are subject to conceptualization of boththe producers and the users. However, they do not often match. Initiatives forharmonization and standardization of land cover mapping are attempts to reach acommon conceptual platform. Nevertheless, these solutions cannot essentially overcomethe problem. The premise of this research is that the solution could be found inquantitative land cover modeling.The objective of the research is concept, requirements and possibilities ofquantitative cartographic land cover modeling under conditions of increased demand forappropriate, quality and up-to-date information on the environment and naturalresources. Since the optical satellite sensors are the primary data source for generatingthe land cover information, the research was focused on quality of both the Earthobservation data and the methods of quantitative parameters modeling that serve for thedescription of land features’ characteristics.The most often used spectral indices and biophysical parameters that areconsidered instruments for quantitative description of basic land cover categories(vegetation, water, land and artificial surfaces) are analyzed. Spectral indices aresuitable for quantitative modeling because they are direct function of satellite data.However, as they do not represent absolute biophysical characteristics of features, theirinterpretation is often problematic, especially in the case of describing vegetation as themost complex category. On the other hand, modeling of biophysical parameters is achallenge. Simple empirical models of biophysical parameters’ estimation from spectralindices are connected with significant uncertainty which makes them inappropriate foroperational use. Deterministic (physical) models of biophysical parameters’ estimationare good theoretical basis for the operational mapping, but knowledge of the uncertaintyis necessary. Special attention was paid to experimental assessment of uncertainty ofphysically modeled biophysical parameters of vegetation in terms of various uncertaintysources.The concept of operational quantitative land cover monitoring is also analyzedfrom the aspect of spectral and spatial heterogeneity of the Earth observation data. Asystem of organizing data and information by use of multiscale hierarchical referencegrid is introduced with the grid structure adjusted to the major operational opticalmultispectral satellite sensors. Such a system enables the optimal use of available dataand the possibility to apply object oriented analysis...",
publisher = "Универзитет у Београду, Грађевински факултет",
journal = "Универзитет у Београду",
title = "Квантитативно картографско моделирање земљишног покривача, Quantitative cartographic land cover modeling",
url = "https://hdl.handle.net/21.15107/rcub_nardus_2202"
}

Protić, D.. (2013). Квантитативно картографско моделирање земљишног покривача. in Универзитет у Београду
Универзитет у Београду, Грађевински факултет..
https://hdl.handle.net/21.15107/rcub_nardus_2202

Protić D. Квантитативно картографско моделирање земљишног покривача. in Универзитет у Београду. 2013;.
https://hdl.handle.net/21.15107/rcub_nardus_2202 .

Protić, Dragutin, "Квантитативно картографско моделирање земљишног покривача" in Универзитет у Београду (2013),
https://hdl.handle.net/21.15107/rcub_nardus_2202 .