Spatial modelling of population concentration using geographically weighted regression method
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 applicati...ons, 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.
Keywords:
Geographically weighted regression / population change index / dasymetric method / GIS / open source / Timočka KrajinaSource:
Zbornik radova Geografskog instituta "Jovan Cvijić", SANU, 2011, 61, 3, 151-167Publisher:
- Srpska akademija nauka i umetnosti SANU - Geografski institut 'Jovan Cvijić', Beograd
Funding / projects:
- Spatial, environmental, energy and social aspects of developing settlements and climate change - mutual impacts (RS-MESTD-Technological Development (TD or TR)-36035)
- The role and implementation of the national spatial plan and regional development documents in renewal of strategic research, thinking and governance in Serbia (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-47014)
Institution/Community
GraFarTY - 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 . .