Cluster-mapping procedure for tourism regions based on geostatistics and fuzzy clustering: example of Polish districts

Justyna Majewska , Szymon Truskolaski


In tourism, the phenomenon of spatial agglomeration (concentration of economic activity) spreads beyond the borders of the territorial units. It is referred to as geographic ‘spillovers’ that enhances spatial interdependence and functional relationship of neighbouring regions. Within the standard procedure of cluster-mapping, only concentration inside a territorial unit may be analysed which is a source of biased results in tourism studies. However, tourist agglomeration centres sometimes occur at the juncture of territorial units and the economic entities located in them form spatial clusters with a different degree of membership to several centres of agglomerations located in the neighbourhood. Therefore, we propose to measure ‘inter-regional’ agglomeration in tourism providing modification of spatial autocorrelation measures (regarding neighbourhood and distance). In order to measure neighbourhood more precisely, we use geostatistical information (global positioning system (GPS) coordinates of tourism entities) and geographically weighted fuzzy clustering approach (FGWC). We examine the method on the example of Polish districts (NUTS-4) using database of 131,338 firms registered in section I (accommodation and food services) of Polish Classification of Activity in 2015. The results proved that a novel method of cluster-mapping considering spatial dependency combined with geographic information system (GIS) and FGWC method increases the accuracy of the identification of tourism clusters (inter-regional agglomeration).
Author Justyna Majewska (WGM / KMSG)
Justyna Majewska,,
- Department of International Economics
, Szymon Truskolaski (WGM / KMSG)
Szymon Truskolaski,,
- Department of International Economics
Journal seriesCurrent Issues in Tourism, ISSN 1368-3500, e-ISSN 1747-7603, (N/A 140 pkt)
Issue year2019
Publication size in sheets1
Keywords in Polishaglomeracja w turystyce, klastry inter-regionalne, grupowanie rozmyte, geostatystyka, autokorelacja przestrzenna, powiaty w Polsce
Keywords in EnglishTourism agglomeration; inter-regional clusters; fuzzy clustering; geostatistics; spatial autocorrelation; Polish districts
ASJC Classification1409 Tourism, Leisure and Hospitality Management; 3305 Geography, Planning and Development
Languageen angielski
Score (nominal)140
Score sourcejournalList
ScoreMinisterial score = 140.0, 06-04-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 2.125; WoS Impact Factor: 2017 = 3.462 (2) - 2017=3.516 (5)
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UwagiFirst online: 30 Apr 2018
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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