Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/219582
Title (translated): 
The influence of classification method selection on the identification of spatial dependence - application of join-count test
Authors: 
Pietrzak, Michal Bernard
Wilk, Justyna
Bivand, Roger
Kossowski, Tomasz
Year of Publication: 
2014
Series/Report no.: 
Institute of Economic Research Working Papers No. 21/2014
Abstract (Translated): 
A lot of regional studies cover classification of territorial units due to considering research problem. This approach examines territorial diversification of a phenomena, as well as spatial interactions. The occurrence of spatial dependence can reveal the processes of creating or extanding spatial clusters. One of the significant determinants of research results is a way of classification. Different approach leads to diversified divisions of territorial units. The objective of this paper is to examine the influence of classification method selection on the spatial autocorrelation analysis results using join-count test. This test, in contradiction to the other methods proposed in the field of spatial statistics, analyzes spatial autocorrelation based on qualitative data. Therefore, it can be applied in the examination of spatial dependence between territorial units from distinguished classes of territorial units.
Subjects: 
join-count test
spatial dependence
classification
qualitative data
economic development
JEL: 
C21
C51
J64
R11
Creative Commons License: 
https://creativecommons.org/licenses/by/3.0/
Document Type: 
Working Paper

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