Pejović, Milutin

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Authority KeyName Variants
orcid::0000-0003-1116-9971
  • Pejović, Milutin (14)
  • Pejović, Milutin M. (1)
  • Пејовић, Милутин (1)
Projects

Author's Bibliography

Методологија контроле геометрије кранских шина геодетским мерењима

Вранић, Петко; Поповић, Јован; Пејовић, Милутин; Миловановић, Бранко; Мартиненко, Анастасија

(Техника, 2023)

TY  - JOUR
AU  - Вранић, Петко
AU  - Поповић, Јован
AU  - Пејовић, Милутин
AU  - Миловановић, Бранко
AU  - Мартиненко, Анастасија
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3109
AB  - У лабораторији Института за материјале и конструкције Грађевинског факултета у Београду постоји обавезујућа потреба за контролом геометрије постојећих кранских шина. У овом раду приказана је методологија одређивања геометрије једне овако комплексне конструкције, а уз то приказани су и добијени резултати примењене методе. Финални производ, тј. испитивана геометрија кранских шина подразумевала је нумеричку и графичку анализу правости, анализу паралелности и анализу хоризонталности кранских шина.
PB  - Техника
T1  - Методологија контроле геометрије кранских шина геодетским мерењима
VL  - 77
DO  - 10.5937/tehnika2302147V
ER  - 
@article{
author = "Вранић, Петко and Поповић, Јован and Пејовић, Милутин and Миловановић, Бранко and Мартиненко, Анастасија",
year = "2023",
abstract = "У лабораторији Института за материјале и конструкције Грађевинског факултета у Београду постоји обавезујућа потреба за контролом геометрије постојећих кранских шина. У овом раду приказана је методологија одређивања геометрије једне овако комплексне конструкције, а уз то приказани су и добијени резултати примењене методе. Финални производ, тј. испитивана геометрија кранских шина подразумевала је нумеричку и графичку анализу правости, анализу паралелности и анализу хоризонталности кранских шина.",
publisher = "Техника",
title = "Методологија контроле геометрије кранских шина геодетским мерењима",
volume = "77",
doi = "10.5937/tehnika2302147V"
}
Вранић, П., Поповић, Ј., Пејовић, М., Миловановић, Б.,& Мартиненко, А.. (2023). Методологија контроле геометрије кранских шина геодетским мерењима. 
Техника., 77.
https://doi.org/10.5937/tehnika2302147V
Вранић П, Поповић Ј, Пејовић М, Миловановић Б, Мартиненко А. Методологија контроле геометрије кранских шина геодетским мерењима. 2023;77.
doi:10.5937/tehnika2302147V .
Вранић, Петко, Поповић, Јован, Пејовић, Милутин, Миловановић, Бранко, Мартиненко, Анастасија, "Методологија контроле геометрије кранских шина геодетским мерењима", 77 (2023),
https://doi.org/10.5937/tehnika2302147V . .

Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps

Bajat, Branislav; Kilibarda, Milan; Pejović, Milutin; Samardžić-Petrović, Mileva

(Berlin Heidelberg: Springer, 2018)

TY  - CHAP
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Pejović, Milutin
AU  - Samardžić-Petrović, Mileva
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1106
PB  - Berlin Heidelberg: Springer
T2  - Spatial Analysis and Location Modeling in Urban and Regional Systems
T1  - Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps
EP  - 122
SP  - 97
DO  - 10.1007/978-3-642-37896-6_5
ER  - 
@inbook{
author = "Bajat, Branislav and Kilibarda, Milan and Pejović, Milutin and Samardžić-Petrović, Mileva",
year = "2018",
publisher = "Berlin Heidelberg: Springer",
journal = "Spatial Analysis and Location Modeling in Urban and Regional Systems",
booktitle = "Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps",
pages = "122-97",
doi = "10.1007/978-3-642-37896-6_5"
}
Bajat, B., Kilibarda, M., Pejović, M.,& Samardžić-Petrović, M.. (2018). Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps. in Spatial Analysis and Location Modeling in Urban and Regional Systems
Berlin Heidelberg: Springer., 97-122.
https://doi.org/10.1007/978-3-642-37896-6_5
Bajat B, Kilibarda M, Pejović M, Samardžić-Petrović M. Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps. in Spatial Analysis and Location Modeling in Urban and Regional Systems. 2018;:97-122.
doi:10.1007/978-3-642-37896-6_5 .
Bajat, Branislav, Kilibarda, Milan, Pejović, Milutin, Samardžić-Petrović, Mileva, "Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps" in Spatial Analysis and Location Modeling in Urban and Regional Systems (2018):97-122,
https://doi.org/10.1007/978-3-642-37896-6_5 . .
4
4

Sparse regression interaction models for spatial prediction of soil properties in 3D

Pejović, Milutin; Nikolić, Mladen; Heuvelink, Gerard B. M.; Hengl, Tomislav; Kilibarda, Milan; Bajat, Branislav

(Elsevier Ltd, 2018)

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 . .
1
17
10
15

Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure

Pejović, Milutin; Bajat, Branislav; Gospavić, Zagorka; Saljnikov, Elmira; Kilibarda, Milan; Cakmak, Dragan

(Elsevier B.V., 2017)

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 . .
7
5
6

Experimental setup for measuring long-term behavior of green reinforced concrete beams

Tošić, Nikola; Marinković, Snežana; Ignjatović, Ivan; Bajat, Branislav; Pejović, Milutin

(Springer International Publishing, 2017)

TY  - CONF
AU  - Tošić, Nikola
AU  - Marinković, Snežana
AU  - Ignjatović, Ivan
AU  - Bajat, Branislav
AU  - Pejović, Milutin
PY  - 2017
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/829
AB  - The behavior of reinforced concrete under long-term loading is an important topic when designing concrete structures. Creep and shrinkage of concrete and long-term deflections of concrete structures, mainly reinforced concrete beams, have been studied for many decades but because of the long-term nature of these tests, existing experiments are relatively scarce. More importantly, there are significant challenges when carrying out these tests. These include achieving optimal beam design to ensure a realistic stress distribution with a developed cracked state, measuring deflections from self-weight, adequately measuring elastic deflections and strains, and instantaneously applying the imposed load. The problem is exacerbated with the advent of sustainable structural concretes containing recycled and waste materials-green concretes; they possess specific properties and experimental results for these concretes are even scarcer. In this paper, an experimental setup, designed to test the structural behavior of reinforced concrete beams in a four-point bending test under long-term loading, is described. Six full-scale beams were produced from natural aggregate concrete, recycled aggregate concrete and high-volume fly ash concrete-two beams from each concrete type, one loaded after 7 and the other after 28 days. The load consisted of beam self-weight and imposed permanent load. The beam design procedure is explained, which enabled an adequate stress distribution and crack formation with a minimum imposed load. A method was developed to use geodetic equipment and measurements to determine the deflection from self-weight and a special support and loading structure were designed to enable instant imposed load application and the measurement of elastic deflections and strains. The complete test setup, equipment and procedure are explained and the advantages and deficiencies of this approach are discussed.
PB  - Springer International Publishing
C3  - High Tech Concrete: Where Technology and Engineering Meet - Proceedings of the 2017 fib Symposium
T1  - Experimental setup for measuring long-term behavior of green reinforced concrete beams
EP  - 2364
SP  - 2356
DO  - 10.1007/978-3-319-59471-2_268
ER  - 
@conference{
author = "Tošić, Nikola and Marinković, Snežana and Ignjatović, Ivan and Bajat, Branislav and Pejović, Milutin",
year = "2017",
abstract = "The behavior of reinforced concrete under long-term loading is an important topic when designing concrete structures. Creep and shrinkage of concrete and long-term deflections of concrete structures, mainly reinforced concrete beams, have been studied for many decades but because of the long-term nature of these tests, existing experiments are relatively scarce. More importantly, there are significant challenges when carrying out these tests. These include achieving optimal beam design to ensure a realistic stress distribution with a developed cracked state, measuring deflections from self-weight, adequately measuring elastic deflections and strains, and instantaneously applying the imposed load. The problem is exacerbated with the advent of sustainable structural concretes containing recycled and waste materials-green concretes; they possess specific properties and experimental results for these concretes are even scarcer. In this paper, an experimental setup, designed to test the structural behavior of reinforced concrete beams in a four-point bending test under long-term loading, is described. Six full-scale beams were produced from natural aggregate concrete, recycled aggregate concrete and high-volume fly ash concrete-two beams from each concrete type, one loaded after 7 and the other after 28 days. The load consisted of beam self-weight and imposed permanent load. The beam design procedure is explained, which enabled an adequate stress distribution and crack formation with a minimum imposed load. A method was developed to use geodetic equipment and measurements to determine the deflection from self-weight and a special support and loading structure were designed to enable instant imposed load application and the measurement of elastic deflections and strains. The complete test setup, equipment and procedure are explained and the advantages and deficiencies of this approach are discussed.",
publisher = "Springer International Publishing",
journal = "High Tech Concrete: Where Technology and Engineering Meet - Proceedings of the 2017 fib Symposium",
title = "Experimental setup for measuring long-term behavior of green reinforced concrete beams",
pages = "2364-2356",
doi = "10.1007/978-3-319-59471-2_268"
}
Tošić, N., Marinković, S., Ignjatović, I., Bajat, B.,& Pejović, M.. (2017). Experimental setup for measuring long-term behavior of green reinforced concrete beams. in High Tech Concrete: Where Technology and Engineering Meet - Proceedings of the 2017 fib Symposium
Springer International Publishing., 2356-2364.
https://doi.org/10.1007/978-3-319-59471-2_268
Tošić N, Marinković S, Ignjatović I, Bajat B, Pejović M. Experimental setup for measuring long-term behavior of green reinforced concrete beams. in High Tech Concrete: Where Technology and Engineering Meet - Proceedings of the 2017 fib Symposium. 2017;:2356-2364.
doi:10.1007/978-3-319-59471-2_268 .
Tošić, Nikola, Marinković, Snežana, Ignjatović, Ivan, Bajat, Branislav, Pejović, Milutin, "Experimental setup for measuring long-term behavior of green reinforced concrete beams" in High Tech Concrete: Where Technology and Engineering Meet - Proceedings of the 2017 fib Symposium (2017):2356-2364,
https://doi.org/10.1007/978-3-319-59471-2_268 . .
1
1

Geostatistical modeling of geochemical variables in 3D

Pejović, Milutin M.

(Универзитет у Београду, Грађевински факултет, 2016)

TY  - THES
AU  - Pejović, Milutin M.
PY  - 2016
UR  - http://eteze.bg.ac.rs/application/showtheses?thesesId=4880
UR  - https://fedorabg.bg.ac.rs/fedora/get/o:15303/bdef:Content/download
UR  - http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=513746066
UR  - http://nardus.mpn.gov.rs/123456789/7991
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1688
AB  - Geostatistical mapping of soil properties in 3D refers to the application of geostatisticalmethods to the soil data in order to produce maps of soil properties at different depths.Through two separate studies, this thesis elaborates on two different approaches for 3Dsoil mapping. At first, the well established Spline-Than-Krige approach for the mappingof soil pollutants atmospherically deposited from the copper smelting plant, was used. Inthe absence of the monitoring data, which can be used for a detailed characterization of theplume spreading process, this study was confined to the consideration of terrain exposureto explain spatial trend in arsenic distribution at different depths. This study aims toexplore the extent to which the commonly available information, such as the prevailingwind direction, or the location of the source of pollution, in combination with the digitalterrain model, can be used to quantify the terrain exposure, and hence to improve thespatial prediction of the arsenic concentration at several soil depths.Next, the innovative geostatistical approach to 3D mapping of soil properties, based onsoil profile data, was proposed. It provides the semi-automatic way for 3D modeling ofsoil variables, prediction over the regular grids (rasters) and also the evaluation of predictionaccuracy. Methodologically, this approach operates within the 3D regression krigingframework. 3D trend model is conceptualized as hierarchical or non-hierarchical linearinteraction model. This means that the model includes the interactions between the spatialcovariates and depth in the hiearchial or non-hierarchial manner. The trend modelingis based on the application of the penalized regression technique, lasso. The lasso usesa specific regularization penalty in a fitting procedure to enable the efficient parameterestimation and variable selection (including interaction terms) at the same time...
AB  - Geostatistiˇcko kartiranje zemljišta u 3D odnosi se na primenu geostatistiˇckih metoda nazemljišnim podacima u cilju izrade karata zemljišnih karakteristika jednog podruˇcja, kojese odnose na razliˇcite dubine zemljišta. U okviru dve nezavisne studije, ova doktorskadisertacija razmatra dva razliˇcita pristupa geostatistiˇckog modeliranja zemljišta u 3D. Uokviru prve studije, "Spline-Than-Krige" metod je koriš´cen za kartiranje koncentracijearsena u zemljištu, u blizini Rudarsko-topioniˇcarskog basena Bor, na tri razliˇcite dubine(0-5 cm, 5-15 cm i 15-30 cm). Dugogodišnje emitovanje nepreˇciš´cenih materija iz topionicerudnika u atmosferu, dovelo je do zagadjenja zemljišta u okolini, taloženjem štetnihmaterija nošenih vetrom. U odsustvu podataka kojima bi se detaljnije mogao opisati procesraspršivanja štetnih materija, ova studija se ograniˇcila na analizu izloženosti terenauticaju vetra, a time i procesu zagad¯enja. Predstavljen je inovativan pristup kvantifikacijiizloženosti terena izvoru zagad¯enja. Na osnovu opšte dostupnih podataka, kreirano jenekoliko parametara kojima se kvantifikuje geometrijska i topografska izloženost svaketacˇke terena izvoru zagad¯enja. Tako kreirani parametri, iskorišc´eni su za opisivanje prostornogtrenda koncentracije arsena na tri razliˇcite dubine. Definisani trendovi, koriš´ceni suu okviru regresionog kriginga, za prostornu predikciju. Na taj naˇcin pokušalo se odgovoritina pitanje, u kojoj meri, opšte dostupni podaci, kao što su pravac dominantnog vetraili poznavanje taˇcne lokacije izvora zagadjenja u kombinaciji sa digitalnim modelom terena,mogu biti iskoriš´ceni da bi se unapredila preciznost prostorne predikcije zemljišnihzagadjivaˇca, kako na površinskim slojevima tako i na ve´cim dubinama...
PB  - Универзитет у Београду, Грађевински факултет
T2  - Универзитет у Београду
T1  - Geostatistical modeling of geochemical variables in 3D
UR  - https://hdl.handle.net/21.15107/rcub_nardus_7991
ER  - 
@phdthesis{
author = "Pejović, Milutin M.",
year = "2016",
abstract = "Geostatistical mapping of soil properties in 3D refers to the application of geostatisticalmethods to the soil data in order to produce maps of soil properties at different depths.Through two separate studies, this thesis elaborates on two different approaches for 3Dsoil mapping. At first, the well established Spline-Than-Krige approach for the mappingof soil pollutants atmospherically deposited from the copper smelting plant, was used. Inthe absence of the monitoring data, which can be used for a detailed characterization of theplume spreading process, this study was confined to the consideration of terrain exposureto explain spatial trend in arsenic distribution at different depths. This study aims toexplore the extent to which the commonly available information, such as the prevailingwind direction, or the location of the source of pollution, in combination with the digitalterrain model, can be used to quantify the terrain exposure, and hence to improve thespatial prediction of the arsenic concentration at several soil depths.Next, the innovative geostatistical approach to 3D mapping of soil properties, based onsoil profile data, was proposed. It provides the semi-automatic way for 3D modeling ofsoil variables, prediction over the regular grids (rasters) and also the evaluation of predictionaccuracy. Methodologically, this approach operates within the 3D regression krigingframework. 3D trend model is conceptualized as hierarchical or non-hierarchical linearinteraction model. This means that the model includes the interactions between the spatialcovariates and depth in the hiearchial or non-hierarchial manner. The trend modelingis based on the application of the penalized regression technique, lasso. The lasso usesa specific regularization penalty in a fitting procedure to enable the efficient parameterestimation and variable selection (including interaction terms) at the same time..., Geostatistiˇcko kartiranje zemljišta u 3D odnosi se na primenu geostatistiˇckih metoda nazemljišnim podacima u cilju izrade karata zemljišnih karakteristika jednog podruˇcja, kojese odnose na razliˇcite dubine zemljišta. U okviru dve nezavisne studije, ova doktorskadisertacija razmatra dva razliˇcita pristupa geostatistiˇckog modeliranja zemljišta u 3D. Uokviru prve studije, "Spline-Than-Krige" metod je koriš´cen za kartiranje koncentracijearsena u zemljištu, u blizini Rudarsko-topioniˇcarskog basena Bor, na tri razliˇcite dubine(0-5 cm, 5-15 cm i 15-30 cm). Dugogodišnje emitovanje nepreˇciš´cenih materija iz topionicerudnika u atmosferu, dovelo je do zagadjenja zemljišta u okolini, taloženjem štetnihmaterija nošenih vetrom. U odsustvu podataka kojima bi se detaljnije mogao opisati procesraspršivanja štetnih materija, ova studija se ograniˇcila na analizu izloženosti terenauticaju vetra, a time i procesu zagad¯enja. Predstavljen je inovativan pristup kvantifikacijiizloženosti terena izvoru zagad¯enja. Na osnovu opšte dostupnih podataka, kreirano jenekoliko parametara kojima se kvantifikuje geometrijska i topografska izloženost svaketacˇke terena izvoru zagad¯enja. Tako kreirani parametri, iskorišc´eni su za opisivanje prostornogtrenda koncentracije arsena na tri razliˇcite dubine. Definisani trendovi, koriš´ceni suu okviru regresionog kriginga, za prostornu predikciju. Na taj naˇcin pokušalo se odgovoritina pitanje, u kojoj meri, opšte dostupni podaci, kao što su pravac dominantnog vetraili poznavanje taˇcne lokacije izvora zagadjenja u kombinaciji sa digitalnim modelom terena,mogu biti iskoriš´ceni da bi se unapredila preciznost prostorne predikcije zemljišnihzagadjivaˇca, kako na površinskim slojevima tako i na ve´cim dubinama...",
publisher = "Универзитет у Београду, Грађевински факултет",
journal = "Универзитет у Београду",
title = "Geostatistical modeling of geochemical variables in 3D",
url = "https://hdl.handle.net/21.15107/rcub_nardus_7991"
}
Pejović, M. M.. (2016). Geostatistical modeling of geochemical variables in 3D. in Универзитет у Београду
Универзитет у Београду, Грађевински факултет..
https://hdl.handle.net/21.15107/rcub_nardus_7991
Pejović MM. Geostatistical modeling of geochemical variables in 3D. in Универзитет у Београду. 2016;.
https://hdl.handle.net/21.15107/rcub_nardus_7991 .
Pejović, Milutin M., "Geostatistical modeling of geochemical variables in 3D" in Универзитет у Београду (2016),
https://hdl.handle.net/21.15107/rcub_nardus_7991 .

Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps)

Sekulić, Aleksandar; Pejović, Milutin; Kilibarda, Milan; Bajat, Branislav

(Croatian Geodetic Society, Zagreb, 2016)

TY  - CONF
AU  - Sekulić, Aleksandar
AU  - Pejović, Milutin
AU  - Kilibarda, Milan
AU  - Bajat, Branislav
PY  - 2016
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1494
PB  - Croatian Geodetic Society, Zagreb
C3  - SIG 2016 : proceedings of the International Symposium on Engineering Geodesy, Varaždin, May 20-22, 2016
T1  - Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps)
EP  - 223
SP  - 213
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1494
ER  - 
@conference{
author = "Sekulić, Aleksandar and Pejović, Milutin and Kilibarda, Milan and Bajat, Branislav",
year = "2016",
publisher = "Croatian Geodetic Society, Zagreb",
journal = "SIG 2016 : proceedings of the International Symposium on Engineering Geodesy, Varaždin, May 20-22, 2016",
title = "Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps)",
pages = "223-213",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1494"
}
Sekulić, A., Pejović, M., Kilibarda, M.,& Bajat, B.. (2016). Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps). in SIG 2016 : proceedings of the International Symposium on Engineering Geodesy, Varaždin, May 20-22, 2016
Croatian Geodetic Society, Zagreb., 213-223.
https://hdl.handle.net/21.15107/rcub_grafar_1494
Sekulić A, Pejović M, Kilibarda M, Bajat B. Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps). in SIG 2016 : proceedings of the International Symposium on Engineering Geodesy, Varaždin, May 20-22, 2016. 2016;:213-223.
https://hdl.handle.net/21.15107/rcub_grafar_1494 .
Sekulić, Aleksandar, Pejović, Milutin, Kilibarda, Milan, Bajat, Branislav, "Development of Interactive 1D/2D Geodetic Control Network Design and Adjustment Software in Open Source/Free Environment (R + Google Earth + Google Maps)" in SIG 2016 : proceedings of the International Symposium on Engineering Geodesy, Varaždin, May 20-22, 2016 (2016):213-223,
https://hdl.handle.net/21.15107/rcub_grafar_1494 .

Modelling behaviour of bridge pylon for test load using subspace method

Milovanović, Branko; Marošan, Stevan; Pejić, Marko; Pejović, Milutin

(Zvava Geodetov Slovenije, 2015)

TY  - JOUR
AU  - Milovanović, Branko
AU  - Marošan, Stevan
AU  - Pejić, Marko
AU  - Pejović, Milutin
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/707
AB  - This paper presents the procedure of structure behaviour analysis and modelling applying the subspace method, which has been used in system identification but not in geodetic practice. This method enables the state space dynamic model parameters to be estimated. The equation error model has been used to form the dynamic system model. In addition, two pylons of the same bridge have been demonstrated to behave differently due to the position of the Sun. The entire system identification procedure has been demonstrated in modelling behaviour of the "Sloboda" bridge over the Danube pylon in direction of Novi Sad. The measurements were compiled during the bridge test load conducted in September 2005. The input signals subject to the analysis are the long-periodic signals: namely, the force in pylon cables and temperature. The output signals are pylon top displacements. The civil engineering experts' requirements called for identification of all displacements exceeding 10 mm. The pylon top position was determined by static GPS along with the 25- minute measurements per epoch.
PB  - Zvava Geodetov Slovenije
T2  - Geodetski vestnik
T1  - Modelling behaviour of bridge pylon for test load using subspace method
EP  - 134
IS  - 1
SP  - 116
VL  - 59
DO  - 10.15292/geodetski-vestnik.2015.01.116-134
ER  - 
@article{
author = "Milovanović, Branko and Marošan, Stevan and Pejić, Marko and Pejović, Milutin",
year = "2015",
abstract = "This paper presents the procedure of structure behaviour analysis and modelling applying the subspace method, which has been used in system identification but not in geodetic practice. This method enables the state space dynamic model parameters to be estimated. The equation error model has been used to form the dynamic system model. In addition, two pylons of the same bridge have been demonstrated to behave differently due to the position of the Sun. The entire system identification procedure has been demonstrated in modelling behaviour of the "Sloboda" bridge over the Danube pylon in direction of Novi Sad. The measurements were compiled during the bridge test load conducted in September 2005. The input signals subject to the analysis are the long-periodic signals: namely, the force in pylon cables and temperature. The output signals are pylon top displacements. The civil engineering experts' requirements called for identification of all displacements exceeding 10 mm. The pylon top position was determined by static GPS along with the 25- minute measurements per epoch.",
publisher = "Zvava Geodetov Slovenije",
journal = "Geodetski vestnik",
title = "Modelling behaviour of bridge pylon for test load using subspace method",
pages = "134-116",
number = "1",
volume = "59",
doi = "10.15292/geodetski-vestnik.2015.01.116-134"
}
Milovanović, B., Marošan, S., Pejić, M.,& Pejović, M.. (2015). Modelling behaviour of bridge pylon for test load using subspace method. in Geodetski vestnik
Zvava Geodetov Slovenije., 59(1), 116-134.
https://doi.org/10.15292/geodetski-vestnik.2015.01.116-134
Milovanović B, Marošan S, Pejić M, Pejović M. Modelling behaviour of bridge pylon for test load using subspace method. in Geodetski vestnik. 2015;59(1):116-134.
doi:10.15292/geodetski-vestnik.2015.01.116-134 .
Milovanović, Branko, Marošan, Stevan, Pejić, Marko, Pejović, Milutin, "Modelling behaviour of bridge pylon for test load using subspace method" in Geodetski vestnik, 59, no. 1 (2015):116-134,
https://doi.org/10.15292/geodetski-vestnik.2015.01.116-134 . .

Comparison of ARX-and AR-Models and of the Assumed Form of the Transfer Function when Examining Settlement of the Building

Milovanović, Branko; Božić, Branko; Gospavić, Zagorka; Pejović, Milutin

(International Federation of Surveyors, FIG, Prague, 2014)

TY  - CONF
AU  - Milovanović, Branko
AU  - Božić, Branko
AU  - Gospavić, Zagorka
AU  - Pejović, Milutin
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1181
PB  - International Federation of Surveyors, FIG, Prague
C3  - INGEO 2014 - 6th International Conference on Engineering Surveying : 3-4 April 2014, Prague, Czech republic
T1  - Comparison of ARX-and AR-Models and of the Assumed Form of the Transfer Function when Examining Settlement of the Building
EP  - 26
SP  - 21
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1181
ER  - 
@conference{
author = "Milovanović, Branko and Božić, Branko and Gospavić, Zagorka and Pejović, Milutin",
year = "2014",
publisher = "International Federation of Surveyors, FIG, Prague",
journal = "INGEO 2014 - 6th International Conference on Engineering Surveying : 3-4 April 2014, Prague, Czech republic",
title = "Comparison of ARX-and AR-Models and of the Assumed Form of the Transfer Function when Examining Settlement of the Building",
pages = "26-21",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1181"
}
Milovanović, B., Božić, B., Gospavić, Z.,& Pejović, M.. (2014). Comparison of ARX-and AR-Models and of the Assumed Form of the Transfer Function when Examining Settlement of the Building. in INGEO 2014 - 6th International Conference on Engineering Surveying : 3-4 April 2014, Prague, Czech republic
International Federation of Surveyors, FIG, Prague., 21-26.
https://hdl.handle.net/21.15107/rcub_grafar_1181
Milovanović B, Božić B, Gospavić Z, Pejović M. Comparison of ARX-and AR-Models and of the Assumed Form of the Transfer Function when Examining Settlement of the Building. in INGEO 2014 - 6th International Conference on Engineering Surveying : 3-4 April 2014, Prague, Czech republic. 2014;:21-26.
https://hdl.handle.net/21.15107/rcub_grafar_1181 .
Milovanović, Branko, Božić, Branko, Gospavić, Zagorka, Pejović, Milutin, "Comparison of ARX-and AR-Models and of the Assumed Form of the Transfer Function when Examining Settlement of the Building" in INGEO 2014 - 6th International Conference on Engineering Surveying : 3-4 April 2014, Prague, Czech republic (2014):21-26,
https://hdl.handle.net/21.15107/rcub_grafar_1181 .

Solving a surveying problem by using R and QGIS: Setting out of a land expropriation zone

Pejović, Milutin; Gospavić, Zagorka; Milovanović, Branko; Arsić, Igor

(Savez geodeta Srbije, Beograd, 2014)

TY  - JOUR
AU  - Pejović, Milutin
AU  - Gospavić, Zagorka
AU  - Milovanović, Branko
AU  - Arsić, Igor
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/626
AB  - Application of the open source software when resolving geodetic issues provides limitless possibilities. The present paper will showcase a methodology for setting out of engineering projects through a combination of GIS (Geographic Information System) software QGIS and R software environment. The link between QGIS and R had been established using Sextante toolbox, which significantly extends possibilities for a QGIS application, by establishing link to the other 'powerful' tools, such as R. Test example of land expropriation project shows the possibilities of the QGIS application for analytical elaboration of an expropriation zone, and R software package for automating setting out accuracy calculation.
PB  - Savez geodeta Srbije, Beograd
T2  - Geonauka
T1  - Solving a surveying problem by using R and QGIS: Setting out of a land expropriation zone
EP  - 18
IS  - 2
SP  - 12
VL  - 2
DO  - 10.14438/gn.2014.11
ER  - 
@article{
author = "Pejović, Milutin and Gospavić, Zagorka and Milovanović, Branko and Arsić, Igor",
year = "2014",
abstract = "Application of the open source software when resolving geodetic issues provides limitless possibilities. The present paper will showcase a methodology for setting out of engineering projects through a combination of GIS (Geographic Information System) software QGIS and R software environment. The link between QGIS and R had been established using Sextante toolbox, which significantly extends possibilities for a QGIS application, by establishing link to the other 'powerful' tools, such as R. Test example of land expropriation project shows the possibilities of the QGIS application for analytical elaboration of an expropriation zone, and R software package for automating setting out accuracy calculation.",
publisher = "Savez geodeta Srbije, Beograd",
journal = "Geonauka",
title = "Solving a surveying problem by using R and QGIS: Setting out of a land expropriation zone",
pages = "18-12",
number = "2",
volume = "2",
doi = "10.14438/gn.2014.11"
}
Pejović, M., Gospavić, Z., Milovanović, B.,& Arsić, I.. (2014). Solving a surveying problem by using R and QGIS: Setting out of a land expropriation zone. in Geonauka
Savez geodeta Srbije, Beograd., 2(2), 12-18.
https://doi.org/10.14438/gn.2014.11
Pejović M, Gospavić Z, Milovanović B, Arsić I. Solving a surveying problem by using R and QGIS: Setting out of a land expropriation zone. in Geonauka. 2014;2(2):12-18.
doi:10.14438/gn.2014.11 .
Pejović, Milutin, Gospavić, Zagorka, Milovanović, Branko, Arsić, Igor, "Solving a surveying problem by using R and QGIS: Setting out of a land expropriation zone" in Geonauka, 2, no. 2 (2014):12-18,
https://doi.org/10.14438/gn.2014.11 . .
2

Integration of CAD and GIS technology using ArcGIS for development of building information systems

Cvetinović, Jelena M.; Gospavić, Zagorka; Pejović, Milutin

(Savez inženjera i tehničara Srbije, Beograd, 2014)

TY  - JOUR
AU  - Cvetinović, Jelena M.
AU  - Gospavić, Zagorka
AU  - Pejović, Milutin
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/564
AB  - Paper will present basic definitions and significance of implementation of information systems for facility maintenance, as well as terms Facility management (FM) and FM lifecycle. The main focus of this paper is on CAD and GIS integration within ArcGIS software in order to consolidate different data formats for creating unique information system for FM.
AB  - U okviru rada daće se osnovne definicije i značaj primene informacionih sistema za potrebe održavanja objekata, objasniće se pojmovi Facility management i životni ciklus objekata. Akcenat u radu dat je integraciji CAD i GIS tehnologije u okviru softverskog paketa ArcGIS u cilju objedinjavanja različitih formata podataka radi kreiranja jedinstvenog informacionog sistema objekata.
PB  - Savez inženjera i tehničara Srbije, Beograd
T2  - Tehnika
T1  - Integration of CAD and GIS technology using ArcGIS for development of building information systems
T1  - Integracija CAD i GIS tehnologije za potrebe izrade informacionih sistema objekata korišćenjem ARCGIS-a
EP  - 40
IS  - 1
SP  - 33
VL  - 69
DO  - 10.5937/tehnika1401033C
ER  - 
@article{
author = "Cvetinović, Jelena M. and Gospavić, Zagorka and Pejović, Milutin",
year = "2014",
abstract = "Paper will present basic definitions and significance of implementation of information systems for facility maintenance, as well as terms Facility management (FM) and FM lifecycle. The main focus of this paper is on CAD and GIS integration within ArcGIS software in order to consolidate different data formats for creating unique information system for FM., U okviru rada daće se osnovne definicije i značaj primene informacionih sistema za potrebe održavanja objekata, objasniće se pojmovi Facility management i životni ciklus objekata. Akcenat u radu dat je integraciji CAD i GIS tehnologije u okviru softverskog paketa ArcGIS u cilju objedinjavanja različitih formata podataka radi kreiranja jedinstvenog informacionog sistema objekata.",
publisher = "Savez inženjera i tehničara Srbije, Beograd",
journal = "Tehnika",
title = "Integration of CAD and GIS technology using ArcGIS for development of building information systems, Integracija CAD i GIS tehnologije za potrebe izrade informacionih sistema objekata korišćenjem ARCGIS-a",
pages = "40-33",
number = "1",
volume = "69",
doi = "10.5937/tehnika1401033C"
}
Cvetinović, J. M., Gospavić, Z.,& Pejović, M.. (2014). Integration of CAD and GIS technology using ArcGIS for development of building information systems. in Tehnika
Savez inženjera i tehničara Srbije, Beograd., 69(1), 33-40.
https://doi.org/10.5937/tehnika1401033C
Cvetinović JM, Gospavić Z, Pejović M. Integration of CAD and GIS technology using ArcGIS for development of building information systems. in Tehnika. 2014;69(1):33-40.
doi:10.5937/tehnika1401033C .
Cvetinović, Jelena M., Gospavić, Zagorka, Pejović, Milutin, "Integration of CAD and GIS technology using ArcGIS for development of building information systems" in Tehnika, 69, no. 1 (2014):33-40,
https://doi.org/10.5937/tehnika1401033C . .

Geodetic works during the estimation of the vertical displacement of a bridge under a load test

Gučević, Jelena; Delčev, Siniša; Ogrizović, Vukan; Pejić, Marko; Popović, Jovan; Pejović, Milutin

(Czech Technical University in Prague, Prague, 2014)

TY  - CONF
AU  - Gučević, Jelena
AU  - Delčev, Siniša
AU  - Ogrizović, Vukan
AU  - Pejić, Marko
AU  - Popović, Jovan
AU  - Pejović, Milutin
PY  - 2014
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1173
PB  - Czech Technical University in Prague, Prague
C3  - Proceedings of the 6th International Conference on Engineering Surveying - INGEO 2014
T1  - Geodetic works during the estimation of the vertical displacement of a bridge under a load test
EP  - 242
SP  - 237
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1173
ER  - 
@conference{
author = "Gučević, Jelena and Delčev, Siniša and Ogrizović, Vukan and Pejić, Marko and Popović, Jovan and Pejović, Milutin",
year = "2014",
publisher = "Czech Technical University in Prague, Prague",
journal = "Proceedings of the 6th International Conference on Engineering Surveying - INGEO 2014",
title = "Geodetic works during the estimation of the vertical displacement of a bridge under a load test",
pages = "242-237",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1173"
}
Gučević, J., Delčev, S., Ogrizović, V., Pejić, M., Popović, J.,& Pejović, M.. (2014). Geodetic works during the estimation of the vertical displacement of a bridge under a load test. in Proceedings of the 6th International Conference on Engineering Surveying - INGEO 2014
Czech Technical University in Prague, Prague., 237-242.
https://hdl.handle.net/21.15107/rcub_grafar_1173
Gučević J, Delčev S, Ogrizović V, Pejić M, Popović J, Pejović M. Geodetic works during the estimation of the vertical displacement of a bridge under a load test. in Proceedings of the 6th International Conference on Engineering Surveying - INGEO 2014. 2014;:237-242.
https://hdl.handle.net/21.15107/rcub_grafar_1173 .
Gučević, Jelena, Delčev, Siniša, Ogrizović, Vukan, Pejić, Marko, Popović, Jovan, Pejović, Milutin, "Geodetic works during the estimation of the vertical displacement of a bridge under a load test" in Proceedings of the 6th International Conference on Engineering Surveying - INGEO 2014 (2014):237-242,
https://hdl.handle.net/21.15107/rcub_grafar_1173 .

The Preliminary Damage Assessment of Properties Based on Massive Appraisal Maps

Bajat, Branislav; Kilibarda, Milan; Pejović, Milutin; Samardžić-Petrović, Mileva

(Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb ; Faculty of Civil Engineering, University of Rijeka, Zagreb ; Rijeka, 2014)

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 .

Meteo: package for automated meteorological spatiotemporal mapping

Kilibarda, Milan; Bajat, Branislav; Hengl, Tomislav; Pejović, Milutin

(Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, 2014)

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 .

Control of geometry of engineering facilities by geodetic methods

Gospavić, Zagorka; Ašanin, Slobodan; Milovanović, Branko; Pejović, Milutin

(Savez građevinskih inženjera Srbije, Beograd, 2013)

TY  - JOUR
AU  - Gospavić, Zagorka
AU  - Ašanin, Slobodan
AU  - Milovanović, Branko
AU  - Pejović, Milutin
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/488
AB  - In this paper we present a method for control of geometry of engineering facility by geodetic methods. Control of geometry can be performed by location, shape and size and shape only. Paper also presents all necessary surveying work for the successful control of geometry, but testing geometry of figures assumed estimation parameters of figures and application of linear hypothesis for the analysis of deviation from the assumed geometry. The testing procedure is elaborated through detailed examples of a straight line, and possibility of geodetic methods are given through an example of control the geometry of the reservoir for gasoline.
AB  - U ovom radu je prikazan postupak kontrole geometrije inženjerskih objekata geodetskim metodama. Kontrola geometrije se obavlja po položaju, obliku i veličini ili samo obliku ispitivanog objekta. U radu su prikazani svi neophodni geodetski radovi za uspešnu kontrolu geometrije, ali je detaljno obrađeno samo testiranje geometrije, koje podrazumeva ocenjivanje parametara figura primenom linearnih hipoteza za analizu odstupanja od pretpostavljene geometrijske forme objekta. Postupak testiranja je detaljno prikazan kroz primere za pravu liniju, a mogućnosti geodetskih metoda su dati kroz primer kontrole geometrije rezervoara za motorni benzin.
PB  - Savez građevinskih inženjera Srbije, Beograd
T2  - Građevinski kalendar
T1  - Control of geometry of engineering facilities by geodetic methods
T1  - Kontrola geometrije inženjerskih objekata geodetskim metodama
EP  - 272
IS  - 45
SP  - 246
UR  - https://hdl.handle.net/21.15107/rcub_grafar_488
ER  - 
@article{
author = "Gospavić, Zagorka and Ašanin, Slobodan and Milovanović, Branko and Pejović, Milutin",
year = "2013",
abstract = "In this paper we present a method for control of geometry of engineering facility by geodetic methods. Control of geometry can be performed by location, shape and size and shape only. Paper also presents all necessary surveying work for the successful control of geometry, but testing geometry of figures assumed estimation parameters of figures and application of linear hypothesis for the analysis of deviation from the assumed geometry. The testing procedure is elaborated through detailed examples of a straight line, and possibility of geodetic methods are given through an example of control the geometry of the reservoir for gasoline., U ovom radu je prikazan postupak kontrole geometrije inženjerskih objekata geodetskim metodama. Kontrola geometrije se obavlja po položaju, obliku i veličini ili samo obliku ispitivanog objekta. U radu su prikazani svi neophodni geodetski radovi za uspešnu kontrolu geometrije, ali je detaljno obrađeno samo testiranje geometrije, koje podrazumeva ocenjivanje parametara figura primenom linearnih hipoteza za analizu odstupanja od pretpostavljene geometrijske forme objekta. Postupak testiranja je detaljno prikazan kroz primere za pravu liniju, a mogućnosti geodetskih metoda su dati kroz primer kontrole geometrije rezervoara za motorni benzin.",
publisher = "Savez građevinskih inženjera Srbije, Beograd",
journal = "Građevinski kalendar",
title = "Control of geometry of engineering facilities by geodetic methods, Kontrola geometrije inženjerskih objekata geodetskim metodama",
pages = "272-246",
number = "45",
url = "https://hdl.handle.net/21.15107/rcub_grafar_488"
}
Gospavić, Z., Ašanin, S., Milovanović, B.,& Pejović, M.. (2013). Control of geometry of engineering facilities by geodetic methods. in Građevinski kalendar
Savez građevinskih inženjera Srbije, Beograd.(45), 246-272.
https://hdl.handle.net/21.15107/rcub_grafar_488
Gospavić Z, Ašanin S, Milovanović B, Pejović M. Control of geometry of engineering facilities by geodetic methods. in Građevinski kalendar. 2013;(45):246-272.
https://hdl.handle.net/21.15107/rcub_grafar_488 .
Gospavić, Zagorka, Ašanin, Slobodan, Milovanović, Branko, Pejović, Milutin, "Control of geometry of engineering facilities by geodetic methods" in Građevinski kalendar, no. 45 (2013):246-272,
https://hdl.handle.net/21.15107/rcub_grafar_488 .

Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging

Bajat, Branislav; Pejović, Milutin; Luković, Jelena; Manojlović, Predrag; Ducić, Vladan; Mustafić, Sanja

(Springer-Verlag Wien, 2013)

TY  - JOUR
AU  - Bajat, Branislav
AU  - Pejović, Milutin
AU  - Luković, Jelena
AU  - Manojlović, Predrag
AU  - Ducić, Vladan
AU  - Mustafić, Sanja
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/545
AB  - The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this study is to use geostatistics to characterize the spatial structure and map the spatial variation of average values of precipitation for a 30-year period in Serbia. New, recently introduced, geostatistical algorithms facilitate utilization of auxiliary variables especially remote sensing data or freely available global datasets. The data from Advanced Spaceborn Thermal Emission and Reflection Radiometer global digital elevation model are incorporated as ancillary variables into spatial prediction of average annual precipitation using geostatistical method known as regression kriging. The R (2) value of 0.842 proves high performance result of the prediction of the proposed method.
PB  - Springer-Verlag Wien
T2  - Theoretical and Applied Climatology
T1  - Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging
EP  - 13
IS  - 1-2
SP  - 1
VL  - 112
DO  - 10.1007/s00704-012-0702-2
ER  - 
@article{
author = "Bajat, Branislav and Pejović, Milutin and Luković, Jelena and Manojlović, Predrag and Ducić, Vladan and Mustafić, Sanja",
year = "2013",
abstract = "The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this study is to use geostatistics to characterize the spatial structure and map the spatial variation of average values of precipitation for a 30-year period in Serbia. New, recently introduced, geostatistical algorithms facilitate utilization of auxiliary variables especially remote sensing data or freely available global datasets. The data from Advanced Spaceborn Thermal Emission and Reflection Radiometer global digital elevation model are incorporated as ancillary variables into spatial prediction of average annual precipitation using geostatistical method known as regression kriging. The R (2) value of 0.842 proves high performance result of the prediction of the proposed method.",
publisher = "Springer-Verlag Wien",
journal = "Theoretical and Applied Climatology",
title = "Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging",
pages = "13-1",
number = "1-2",
volume = "112",
doi = "10.1007/s00704-012-0702-2"
}
Bajat, B., Pejović, M., Luković, J., Manojlović, P., Ducić, V.,& Mustafić, S.. (2013). Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging. in Theoretical and Applied Climatology
Springer-Verlag Wien., 112(1-2), 1-13.
https://doi.org/10.1007/s00704-012-0702-2
Bajat B, Pejović M, Luković J, Manojlović P, Ducić V, Mustafić S. Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging. in Theoretical and Applied Climatology. 2013;112(1-2):1-13.
doi:10.1007/s00704-012-0702-2 .
Bajat, Branislav, Pejović, Milutin, Luković, Jelena, Manojlović, Predrag, Ducić, Vladan, Mustafić, Sanja, "Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging" in Theoretical and Applied Climatology, 112, no. 1-2 (2013):1-13,
https://doi.org/10.1007/s00704-012-0702-2 . .
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