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Population distribution by selected road network elements - comparison of centroids, geocoded addresses, built-up areas and total areas on the example of Slovak communes

Population distribution by selected road network elements - comparison of centroids, geocoded... Abstract Two research objectives can be identified in the presented paper. The first one was the development of a point layer, which would abstract from the position of a central point depending on the shape of the territory of the respective spatial unit (commune), and would express the position of a commune as regards the location of the point in the area of the commune built-up area. For such purpose, a geocoding algorithm from Google was used, for which it was possible to prepare a final dot map layer without any terrain layout, as the geocoding algorithm processes only simple text addresses of the relevant spatial units. Such an obtained dot layer was compared with the layer of centroids and the achieved differences were visualised. Another objective was to compare different methods of population distribution interpretation from the selected road network elements at the commune level. Point layers in the form of centroids and geocodes were compared with the spatial population distribution on the basis of the total area and built-up area of a commune. It is more suitable to use geocodes as the holder of statistical information in comparison with commune centroids, in particular in the areas with marked vertical division of the terrain. In assessing population distribution, the obtained values are much closer to the expression of the identical indicator calculated for the built-up area of a commune that we consider most accurate, which is also documented by the average percentage deviations between particular interpretations of population distribution. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of Geography. Socio-economic Series de Gruyter

Population distribution by selected road network elements - comparison of centroids, geocoded addresses, built-up areas and total areas on the example of Slovak communes

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Publisher
de Gruyter
Copyright
Copyright © 2015 by the
ISSN
2083-8298
eISSN
1732-4254
DOI
10.1515/bog-2015-0012
Publisher site
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Abstract

Abstract Two research objectives can be identified in the presented paper. The first one was the development of a point layer, which would abstract from the position of a central point depending on the shape of the territory of the respective spatial unit (commune), and would express the position of a commune as regards the location of the point in the area of the commune built-up area. For such purpose, a geocoding algorithm from Google was used, for which it was possible to prepare a final dot map layer without any terrain layout, as the geocoding algorithm processes only simple text addresses of the relevant spatial units. Such an obtained dot layer was compared with the layer of centroids and the achieved differences were visualised. Another objective was to compare different methods of population distribution interpretation from the selected road network elements at the commune level. Point layers in the form of centroids and geocodes were compared with the spatial population distribution on the basis of the total area and built-up area of a commune. It is more suitable to use geocodes as the holder of statistical information in comparison with commune centroids, in particular in the areas with marked vertical division of the terrain. In assessing population distribution, the obtained values are much closer to the expression of the identical indicator calculated for the built-up area of a commune that we consider most accurate, which is also documented by the average percentage deviations between particular interpretations of population distribution.

Journal

Bulletin of Geography. Socio-economic Series – de Gruyter

Published: Jun 1, 2015

References

  • Network structure and travel patterns : explaining the geographical disparities of road network vulnerability In of Transport Geography Issue pp http dx doi org
    Jenelius
  • GIS - based highway maintenance prioritization model : an integrated approach for highway maintenance in Nepal mountains In of Transport Geography Issue pp http dx doi org
    Pantha
  • The Impacts of Highway Expansion on Population Change : An Integrated Spatial Approach In Issue pp http dx doi org research agenda Does positional error matter in health GIS studies In Spatial and temporal
    Chi
  • Population change and accessibility by road and rail networks : GIS and statistical approach to Finland In of Transport Geography Issue pp http dx doi org
    Kotavaara
  • Urban Road Network Accessibility Evaluation Based on GIS Spatial Analysis Techniques In The International Archives of the Photogrammetry Remote Sensing and Spatial Information Part II pp
    Weiping
  • Distance traveled in three Canadian cities : Spatial analysis from the perspective of vulnerable population segments In of Transport Geography Issue pp http dx doi org
    Morency