The influence of classification method selection on the identification of spatial dependence – application of join-count test
Michal Pietrzak (),
Justyna Wilk (),
Roger Bivand and
Tomasz Kossowski ()
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Tomasz Kossowski: Adam Mickiewicz University in Poznan, Poland
No 21/2014, Working Papers from Institute of Economic Research
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.
Keywords: join-count test; spatial dependence; classification; qualitative data; economic development. (search for similar items in EconPapers)
JEL-codes: C21 C51 J64 R11 (search for similar items in EconPapers)
Date: 2014-05, Revised 2014-11
New Economics Papers: this item is included in nep-ure
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