Wpływ wyboru metody klasyfikacji na identyfikację zależności prze-strzennych – zastosowanie testu join-count
The influence of classification method selection on the identification of spatial dependence – an application of join-count test
Author(s): Michał Pietrzak, Justyna Wilk, Roger S. Bivand, Tomasz KossowskiSubject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: join-count test; spatial autocorrelation; classification; qualitative data
Summary/Abstract: Classification is one of the main methods used in regional studies. It examines territorial diversification of a phenomenon, as well as spatial dependence. Its occurrence can indicate a process of spatial clusters creation. The essense of such research is a way of classification and its results. The aim of this paper is to examine the influence of classification method on the analysis of spatial autocorrelation using join-count test. This test, in contradiction to a lot of other methods of spatial statistics, concerns the spatial autocorrelation of qualitative data. It can be applied in the examination of spatial dependence between territorial units which tend to form clusters.
Journal: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
- Issue Year: 2015
- Issue No: 384
- Page Range: 296-304
- Page Count: 9