TY  - JOUR
AU  - Protić, Dragutin D.
AU  - Kilibarda, Milan
AU  - Nenković-Riznić, Marina
AU  - Nestorov, Ivan Dj
PY  - 2018
UR  - https://raumplan.iaus.ac.rs/handle/123456789/313
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  - VINCA Institute of Nuclear Sciences
T2  - Thermal Science
T1  - Three-dimensional urban solar potential maps: Case study of the i-Scope project
VL  - 22
IS  - 1
SP  - 663
EP  - 673
DO  - 10.2298/TSCI170715213P
ER  - 

@article{
author = "Protić, Dragutin D. and Kilibarda, Milan and Nenković-Riznić, Marina and Nestorov, Ivan Dj",
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 = "VINCA Institute of Nuclear Sciences",
journal = "Thermal Science",
title = "Three-dimensional urban solar potential maps: Case study of the i-Scope project",
volume = "22",
number = "1",
pages = "663-673",
doi = "10.2298/TSCI170715213P"
}

Protić, D. D., Kilibarda, M., Nenković-Riznić, M.,& Nestorov, I. D.. (2018). Three-dimensional urban solar potential maps: Case study of the i-Scope project. in Thermal Science
VINCA Institute of Nuclear Sciences., 22(1), 663-673.
https://doi.org/10.2298/TSCI170715213P

Protić DD, Kilibarda M, Nenković-Riznić M, Nestorov ID. 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 D., Kilibarda, Milan, Nenković-Riznić, Marina, Nestorov, Ivan Dj, "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  - CONF
AU  - Krunić, Nikola
AU  - Bajat, Branislav
AU  - Kilibarda, Milan
PY  - 2015
UR  - https://raumplan.iaus.ac.rs/handle/123456789/261
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  - Springer-Verlag Berlin, Berlin
C3  - Surface Models for Geosciences
T1  - Dasymetric mapping of population distribution in serbia based on soil sealing degrees layer
SP  - 137
EP  - 149
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 = "Springer-Verlag Berlin, Berlin",
journal = "Surface Models for Geosciences",
title = "Dasymetric mapping of population distribution in serbia based on soil sealing degrees layer",
pages = "137-149",
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
Springer-Verlag Berlin, Berlin., 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://raumplan.iaus.ac.rs/handle/123456789/233
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.
PB  - Assoc Surveyors Slovenia, Ljubljana
T2  - Geodetski Vestnik
T1  - Dasymetric modelling of population dynamics in urban areas [Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih]
VL  - 57
IS  - 4
SP  - 777
EP  - 792
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.",
publisher = "Assoc Surveyors Slovenia, Ljubljana",
journal = "Geodetski Vestnik",
title = "Dasymetric modelling of population dynamics in urban areas [Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih]",
volume = "57",
number = "4",
pages = "777-792",
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 [Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih]. in Geodetski Vestnik
Assoc Surveyors Slovenia, Ljubljana., 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 [Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih]. 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 [Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih]" 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://raumplan.iaus.ac.rs/handle/123456789/196
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  - Geographical Institute "Jovan Cvijić" SASA
T2  - Zbornik radova Geografskog instituta "Jovan Cvijić", SANU
T1  - Spatial modelling of population concentration using geographically weighted regression method
VL  - 61
IS  - 3
SP  - 151
EP  - 167
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 = "Geographical Institute "Jovan Cvijić" SASA",
journal = "Zbornik radova Geografskog instituta "Jovan Cvijić", SANU",
title = "Spatial modelling of population concentration using geographically weighted regression method",
volume = "61",
number = "3",
pages = "151-167",
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
Geographical Institute "Jovan Cvijić" SASA., 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://raumplan.iaus.ac.rs/handle/123456789/193
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  - Institute of Architecture, Urban & Spatial Planning of Serbia
T2  - Spatium
T1  - Modelling the spatial distribution of Vojvodina's population by using dasymetric method
IS  - 24
SP  - 45
EP  - 50
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 = "Institute of Architecture, Urban & Spatial Planning of Serbia",
journal = "Spatium",
title = "Modelling the spatial distribution of Vojvodina's population by using dasymetric method",
number = "24",
pages = "45-50",
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
Institute of Architecture, Urban & Spatial Planning of Serbia.(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://raumplan.iaus.ac.rs/handle/123456789/188
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 > 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.
PB  - Elsevier Sci Ltd, Oxford
T2  - Computers Environment and Urban Systems
T1  - Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors
VL  - 35
IS  - 1
SP  - 35
EP  - 44
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 > 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.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Computers Environment and Urban Systems",
title = "Mapping population change index in Southern Serbia (1961-2027) as a function of environmental factors",
volume = "35",
number = "1",
pages = "35-44",
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
Elsevier Sci Ltd, Oxford., 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 . .