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  - CONF
AU  - Krunić, Nikola
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/690
AB  - This paper outlines a methodology used to disaggregate a census population in order to more accurately determine the population distribution over a regional area or a state scale. Data regarding population distributions are usually accessible at the level of individual census designation places and are usually mapped as aggregated polygons by the choropleth method with the assumption of a homogeneous distribution of population within a cartographic unit. In contrast, dasymetric mapping provides a more reliable view into the allocation of inhabitants, which can be of significant importance when estimating population distributions. Coupling this methodology with the GIS environment and a free open access database of soil sealing facilitates the acquisition of population surface models for human and urban geography applications.
PB  - Kluwer Academic Publishers
C3  - Surface Models for Geosciences
T1  - Dasymetric Mapping of Population Distribution in Serbia Based on Soil Sealing Degrees Layer
EP  - 149
SP  - 137
DO  - 10.1007/978-3-319-18407-4_12
ER  - 

@conference{
author = "Krunić, Nikola and Bajat, Branislav and Kilibarda, Milan",
year = "2015",
abstract = "This paper outlines a methodology used to disaggregate a census population in order to more accurately determine the population distribution over a regional area or a state scale. Data regarding population distributions are usually accessible at the level of individual census designation places and are usually mapped as aggregated polygons by the choropleth method with the assumption of a homogeneous distribution of population within a cartographic unit. In contrast, dasymetric mapping provides a more reliable view into the allocation of inhabitants, which can be of significant importance when estimating population distributions. Coupling this methodology with the GIS environment and a free open access database of soil sealing facilitates the acquisition of population surface models for human and urban geography applications.",
publisher = "Kluwer Academic Publishers",
journal = "Surface Models for Geosciences",
title = "Dasymetric Mapping of Population Distribution in Serbia Based on Soil Sealing Degrees Layer",
pages = "149-137",
doi = "10.1007/978-3-319-18407-4_12"
}

Krunić, N., Bajat, B.,& Kilibarda, M.. (2015). Dasymetric Mapping of Population Distribution in Serbia Based on Soil Sealing Degrees Layer. in Surface Models for Geosciences
Kluwer Academic Publishers., 137-149.
https://doi.org/10.1007/978-3-319-18407-4_12

Krunić N, Bajat B, Kilibarda M. Dasymetric Mapping of Population Distribution in Serbia Based on Soil Sealing Degrees Layer. in Surface Models for Geosciences. 2015;:137-149.
doi:10.1007/978-3-319-18407-4_12 .

Krunić, Nikola, Bajat, Branislav, Kilibarda, Milan, "Dasymetric Mapping of Population Distribution in Serbia Based on Soil Sealing Degrees Layer" in Surface Models for Geosciences (2015):137-149,
https://doi.org/10.1007/978-3-319-18407-4_12 . .

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  - JOUR
AU  - Bajat, Branislav
AU  - Krunić, Nikola
AU  - Kilibarda, Milan
AU  - Samardžić-Petrović, Mileva
PY  - 2011
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/407
AB  - This paper presents possibilities of applying the geographically weighted regression method in mapping population change index. During the last decade, this contemporary spatial modeling method has been increasingly used in geographical analyses. On the example of the researched region of Timočka Krajina (defined for the needs of elaborating the Regional Spatial Plan), the possibilities for applying this method in disaggregation of traditional models of population density, which are created using the choropleth maps at the level of statistical spatial units, are shown. The applied method is based on the use of ancillary spatial predictors which are in correlation with a targeted variable, the population change index. For this purpose, spatial databases have been used such as digital terrain model, distances from the network of I and II category state roads, as well as soil sealing databases. Spatial model has been developed in the GIS software environment using commercial GIS applications, as well as open source GIS software. Population change indexes for the period 1961-2002 have been mapped based on population census data, while the data on planned population forecast have been used for the period 2002-2027.
PB  - Srpska akademija nauka i umetnosti SANU - Geografski institut 'Jovan Cvijić', Beograd
T2  - Zbornik radova Geografskog instituta "Jovan Cvijić", SANU
T1  - Spatial modelling of population concentration using geographically weighted regression method
EP  - 167
IS  - 3
SP  - 151
VL  - 61
DO  - 10.2298/IJGI1103151B
ER  - 

@article{
author = "Bajat, Branislav and Krunić, Nikola and Kilibarda, Milan and Samardžić-Petrović, Mileva",
year = "2011",
abstract = "This paper presents possibilities of applying the geographically weighted regression method in mapping population change index. During the last decade, this contemporary spatial modeling method has been increasingly used in geographical analyses. On the example of the researched region of Timočka Krajina (defined for the needs of elaborating the Regional Spatial Plan), the possibilities for applying this method in disaggregation of traditional models of population density, which are created using the choropleth maps at the level of statistical spatial units, are shown. The applied method is based on the use of ancillary spatial predictors which are in correlation with a targeted variable, the population change index. For this purpose, spatial databases have been used such as digital terrain model, distances from the network of I and II category state roads, as well as soil sealing databases. Spatial model has been developed in the GIS software environment using commercial GIS applications, as well as open source GIS software. Population change indexes for the period 1961-2002 have been mapped based on population census data, while the data on planned population forecast have been used for the period 2002-2027.",
publisher = "Srpska akademija nauka i umetnosti SANU - Geografski institut 'Jovan Cvijić', Beograd",
journal = "Zbornik radova Geografskog instituta "Jovan Cvijić", SANU",
title = "Spatial modelling of population concentration using geographically weighted regression method",
pages = "167-151",
number = "3",
volume = "61",
doi = "10.2298/IJGI1103151B"
}

Bajat, B., Krunić, N., Kilibarda, M.,& Samardžić-Petrović, M.. (2011). Spatial modelling of population concentration using geographically weighted regression method. in Zbornik radova Geografskog instituta "Jovan Cvijić", SANU
Srpska akademija nauka i umetnosti SANU - Geografski institut 'Jovan Cvijić', Beograd., 61(3), 151-167.
https://doi.org/10.2298/IJGI1103151B

Bajat B, Krunić N, Kilibarda M, Samardžić-Petrović M. Spatial modelling of population concentration using geographically weighted regression method. in Zbornik radova Geografskog instituta "Jovan Cvijić", SANU. 2011;61(3):151-167.
doi:10.2298/IJGI1103151B .

Bajat, Branislav, Krunić, Nikola, Kilibarda, Milan, Samardžić-Petrović, Mileva, "Spatial modelling of population concentration using geographically weighted regression method" in Zbornik radova Geografskog instituta "Jovan Cvijić", SANU, 61, no. 3 (2011):151-167,
https://doi.org/10.2298/IJGI1103151B . .

TY  - JOUR
AU  - Krunić, Nikola
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
AU  - Tošić, Dragutin
PY  - 2011
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/344
AB  - Cartographic presentation of heterogeneity/homogeneity in the spatial distribution of population is still a major problem in modern geography, and other geo-sciences as well. The traditional method of thematic or choropleth mapping rarely gives satisfactory results. This paper analyzes the applicability of dasymetric mapping method for the modelling of spatial distribution of population. Although it is a relatively old method, it becomes widely used following the development of computer technology, GIS and satellite imagery, and its applicability is increasing in social, economic and other sciences and disciplines. After showing the basis and development of dasymetric mapping, the authors present possible application of this method in the population distribution modelling of Vojvodina.
PB  - Institut za arhitekturu i urbanizam Srbije, Beograd
T2  - Spatium
T1  - Modelling the spatial distribution of Vojvodina's population by using dasymetric method
EP  - 50
IS  - 24
SP  - 45
DO  - 10.2298/SPAT1124045K
ER  - 

@article{
author = "Krunić, Nikola and Bajat, Branislav and Kilibarda, Milan and Tošić, Dragutin",
year = "2011",
abstract = "Cartographic presentation of heterogeneity/homogeneity in the spatial distribution of population is still a major problem in modern geography, and other geo-sciences as well. The traditional method of thematic or choropleth mapping rarely gives satisfactory results. This paper analyzes the applicability of dasymetric mapping method for the modelling of spatial distribution of population. Although it is a relatively old method, it becomes widely used following the development of computer technology, GIS and satellite imagery, and its applicability is increasing in social, economic and other sciences and disciplines. After showing the basis and development of dasymetric mapping, the authors present possible application of this method in the population distribution modelling of Vojvodina.",
publisher = "Institut za arhitekturu i urbanizam Srbije, Beograd",
journal = "Spatium",
title = "Modelling the spatial distribution of Vojvodina's population by using dasymetric method",
pages = "50-45",
number = "24",
doi = "10.2298/SPAT1124045K"
}

Krunić, N., Bajat, B., Kilibarda, M.,& Tošić, D.. (2011). Modelling the spatial distribution of Vojvodina's population by using dasymetric method. in Spatium
Institut za arhitekturu i urbanizam Srbije, Beograd.(24), 45-50.
https://doi.org/10.2298/SPAT1124045K

Krunić N, Bajat B, Kilibarda M, Tošić D. Modelling the spatial distribution of Vojvodina's population by using dasymetric method. in Spatium. 2011;(24):45-50.
doi:10.2298/SPAT1124045K .

Krunić, Nikola, Bajat, Branislav, Kilibarda, Milan, Tošić, Dragutin, "Modelling the spatial distribution of Vojvodina's population by using dasymetric method" in Spatium, no. 24 (2011):45-50,
https://doi.org/10.2298/SPAT1124045K . .

TY  - JOUR
AU  - Bajat, Branislav
AU  - Hengl, Tomislav
AU  - Kilibarda, Milan
AU  - Krunić, Nikola
PY  - 2011
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/416
AB  - Niche analysis methods developed within the biogeography community are routinely used for species distribution modeling of wildlife and endangered species. So far, such techniques have not been used to explain distribution of people in an area, nor to assess spatio-temporal dynamics of human populations. In this paper, the MaxEnt approach to species distribution modeling and publicly available gridded predictors were used to analyze the population dynamics in Southern Serbia (South Pomoravlje Region) for the period 1961-2027. Population values from the census administrative units were first downscaled to 200 m grid using a detailed map of populated places and dasymetric interpolation. In the second step, a point pattern representing the whole population (468,500 inhabitants in 2002) was simulated using the R package spatstat. MaxEnt was then used to derive habitat suitability index (HSI) as a function of gridded predictors: distance to roads, elevation, slope, topographic wetness index, enhanced vegetation index and land cover classes. HSI and environmental predictors were further used to explain spatial patterns in the population change index (PCI) through regression modeling. The results show that inhabiting preference for year 1961 is mainly a function of topography (TWI, elevation). The HSI for year 2027 shows that large portions of remote areas are becoming less preferred for inhabiting. The results of cross-validation in MaxEnt show that distribution of population is distinctly controlled by environmental factors (AUC  gt 0.84). Population decrease is particularly significant in areas >25 km distant from the main road network. The results of regression analysis show that 40% of variability in the PCI values can be explained with these environmental maps, distance to roads and urban areas being the main drivers of migration process. This approach allows precise mapping of demographic patterns that otherwise would not be visible from the census data alone.
T2  - Computers Environment and Urban Systems
T1  - Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors
EP  - 44
IS  - 1
SP  - 35
VL  - 35
DO  - 10.1016/j.compenvurbsys.2010.09.005
ER  - 

@article{
author = "Bajat, Branislav and Hengl, Tomislav and Kilibarda, Milan and Krunić, Nikola",
year = "2011",
abstract = "Niche analysis methods developed within the biogeography community are routinely used for species distribution modeling of wildlife and endangered species. So far, such techniques have not been used to explain distribution of people in an area, nor to assess spatio-temporal dynamics of human populations. In this paper, the MaxEnt approach to species distribution modeling and publicly available gridded predictors were used to analyze the population dynamics in Southern Serbia (South Pomoravlje Region) for the period 1961-2027. Population values from the census administrative units were first downscaled to 200 m grid using a detailed map of populated places and dasymetric interpolation. In the second step, a point pattern representing the whole population (468,500 inhabitants in 2002) was simulated using the R package spatstat. MaxEnt was then used to derive habitat suitability index (HSI) as a function of gridded predictors: distance to roads, elevation, slope, topographic wetness index, enhanced vegetation index and land cover classes. HSI and environmental predictors were further used to explain spatial patterns in the population change index (PCI) through regression modeling. The results show that inhabiting preference for year 1961 is mainly a function of topography (TWI, elevation). The HSI for year 2027 shows that large portions of remote areas are becoming less preferred for inhabiting. The results of cross-validation in MaxEnt show that distribution of population is distinctly controlled by environmental factors (AUC  gt 0.84). Population decrease is particularly significant in areas >25 km distant from the main road network. The results of regression analysis show that 40% of variability in the PCI values can be explained with these environmental maps, distance to roads and urban areas being the main drivers of migration process. This approach allows precise mapping of demographic patterns that otherwise would not be visible from the census data alone.",
journal = "Computers Environment and Urban Systems",
title = "Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors",
pages = "44-35",
number = "1",
volume = "35",
doi = "10.1016/j.compenvurbsys.2010.09.005"
}

Bajat, B., Hengl, T., Kilibarda, M.,& Krunić, N.. (2011). Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors. in Computers Environment and Urban Systems, 35(1), 35-44.
https://doi.org/10.1016/j.compenvurbsys.2010.09.005

Bajat B, Hengl T, Kilibarda M, Krunić N. Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors. in Computers Environment and Urban Systems. 2011;35(1):35-44.
doi:10.1016/j.compenvurbsys.2010.09.005 .

Bajat, Branislav, Hengl, Tomislav, Kilibarda, Milan, Krunić, Nikola, "Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors" in Computers Environment and Urban Systems, 35, no. 1 (2011):35-44,
https://doi.org/10.1016/j.compenvurbsys.2010.09.005 . .

TY  - JOUR
AU  - Bakić, Olgica
AU  - Krunić, Nikola
AU  - Samardžić-Petrović, Mileva
PY  - 2009
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/232
AB  - This paper illustrate experiences of GIS based spatial geodatabase design realization and development for implementation and monitoring of urban plans. As key study authors used Urban Plan of Vrnjačka Banja created in year 2005. Plan was originally created using CAD technology, and it was necessarily to adopt it and convert to standard GIS file formats. Authors explaining methodological framework for creating and managing geospatial database as support for implementation and update of urban plans, and their presentation on Intra- and Internet.
AB  - Rad prikazuje iskustva u koncipiranju, realizaciji i mogućnostima razvoja prostorne baze podataka za potrebe implementacije i monitoringa urbanističkog plana zasnovane na GIS tehnologiji. Kao primer poslužio je Generalni plan Vrnjačke Banje iz 2005. godine. Budući da je ovaj Plan rađen u standardnoj CAD tehnologiji, bilo je neophodno prilagoditi ga i konvertovati u standardne GIS formate. Autori ukazuju na metodološki okvir formiranja i upravljanja jedinstvenom prostornom bazom podataka za urbanističke planove kao podrške njihovoj implementaciji i ažuriranju, te mogućnostima njihove prezentacije na inter- i intranet-u.
PB  - Institut za arhitekturu i urbanizam Srbije, Beograd
T2  - Arhitektura i urbanizam
T1  - GIS in development of urban plan: Example of Vrnjačka Banja
T1  - GIS u izradi urbanističkog plana - primer Vrnjačke Banje
EP  - 65
IS  - 26
SP  - 56
UR  - https://hdl.handle.net/21.15107/rcub_grafar_232
ER  - 

@article{
author = "Bakić, Olgica and Krunić, Nikola and Samardžić-Petrović, Mileva",
year = "2009",
abstract = "This paper illustrate experiences of GIS based spatial geodatabase design realization and development for implementation and monitoring of urban plans. As key study authors used Urban Plan of Vrnjačka Banja created in year 2005. Plan was originally created using CAD technology, and it was necessarily to adopt it and convert to standard GIS file formats. Authors explaining methodological framework for creating and managing geospatial database as support for implementation and update of urban plans, and their presentation on Intra- and Internet., Rad prikazuje iskustva u koncipiranju, realizaciji i mogućnostima razvoja prostorne baze podataka za potrebe implementacije i monitoringa urbanističkog plana zasnovane na GIS tehnologiji. Kao primer poslužio je Generalni plan Vrnjačke Banje iz 2005. godine. Budući da je ovaj Plan rađen u standardnoj CAD tehnologiji, bilo je neophodno prilagoditi ga i konvertovati u standardne GIS formate. Autori ukazuju na metodološki okvir formiranja i upravljanja jedinstvenom prostornom bazom podataka za urbanističke planove kao podrške njihovoj implementaciji i ažuriranju, te mogućnostima njihove prezentacije na inter- i intranet-u.",
publisher = "Institut za arhitekturu i urbanizam Srbije, Beograd",
journal = "Arhitektura i urbanizam",
title = "GIS in development of urban plan: Example of Vrnjačka Banja, GIS u izradi urbanističkog plana - primer Vrnjačke Banje",
pages = "65-56",
number = "26",
url = "https://hdl.handle.net/21.15107/rcub_grafar_232"
}

Bakić, O., Krunić, N.,& Samardžić-Petrović, M.. (2009). GIS in development of urban plan: Example of Vrnjačka Banja. in Arhitektura i urbanizam
Institut za arhitekturu i urbanizam Srbije, Beograd.(26), 56-65.
https://hdl.handle.net/21.15107/rcub_grafar_232

Bakić O, Krunić N, Samardžić-Petrović M. GIS in development of urban plan: Example of Vrnjačka Banja. in Arhitektura i urbanizam. 2009;(26):56-65.
https://hdl.handle.net/21.15107/rcub_grafar_232 .

Bakić, Olgica, Krunić, Nikola, Samardžić-Petrović, Mileva, "GIS in development of urban plan: Example of Vrnjačka Banja" in Arhitektura i urbanizam, no. 26 (2009):56-65,
https://hdl.handle.net/21.15107/rcub_grafar_232 .