Arbeitspapier

Wpływ wyboru metody klasyfikacji na identyfikację zależności przestrzennych – zastosowanie testu join-count

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.

Weitere Titel
The influence of classification method selection on the identification of spatial dependence - application of join-count test
Sprache
Polnisch

Erschienen in
Series: Institute of Economic Research Working Papers ; No. 21/2014

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Model Construction and Estimation
Unemployment: Models, Duration, Incidence, and Job Search
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Thema
join-count test
spatial dependence
classification
qualitative data
economic development

Ereignis
Geistige Schöpfung
(wer)
Pietrzak, Michal Bernard
Wilk, Justyna
Bivand, Roger
Kossowski, Tomasz
Ereignis
Veröffentlichung
(wer)
Institute of Economic Research (IER)
(wo)
Toruń
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Pietrzak, Michal Bernard
  • Wilk, Justyna
  • Bivand, Roger
  • Kossowski, Tomasz
  • Institute of Economic Research (IER)

Entstanden

  • 2014

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