Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example
Spatial autocorrelation methodologies can be used to reveal patterns and temporal changes of different spatial variables, including tourism arrivals. The research adopts a GIS-based approach to spatially analyse tourist arrivals in Serbia, using Global Moran's I and Anselin's Local Moran&#...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Novi Sad, Department of Geography, Tourism and Hotel Management
2017-01-01
|
| Series: | Geographica Pannonica |
| Subjects: | |
| Online Access: | http://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2017/0354-87241702106S.pdf |
| _version_ | 1818346033904615424 |
|---|---|
| author | Stankov Uglješa Armenski Tanja Klauco Michal Pavluković Vanja Cimbaljević Marija Drakulić-Kovačević Nataša |
| author_facet | Stankov Uglješa Armenski Tanja Klauco Michal Pavluković Vanja Cimbaljević Marija Drakulić-Kovačević Nataša |
| author_sort | Stankov Uglješa |
| collection | DOAJ |
| description | Spatial autocorrelation methodologies can be used to reveal patterns and temporal changes of different spatial variables, including tourism arrivals. The research adopts a GIS-based approach to spatially analyse tourist arrivals in Serbia, using Global Moran's I and Anselin's Local Moran's I statistics applied on the level of municipalities. To assess feasibility of this approach the article discusses spatial changes of tourist arrivals in order to identify potentially significant trends of interest for tourism development policy in Serbia. There is a significant spatial inequality in the distribution of tourism arrivals in Serbia that is not adequately addressed in tourism development plans. The results of global autocorrelation suggest the existence of low and decreasing spatial clustering for domestic tourist arrivals and high, relatively stable spatial clustering for international tourists. Local autocorrelation statistics revealed different of domestic and international tourism arrivals. In order to assess feasibility of this approach these results are discussed in their significance to tourism development policy in Serbia. |
| first_indexed | 2024-12-13T17:11:50Z |
| format | Article |
| id | doaj.art-ff8d2e4001d940d4bf8143e64f2302ed |
| institution | Directory Open Access Journal |
| issn | 0354-8724 1820-7138 |
| language | English |
| last_indexed | 2024-12-13T17:11:50Z |
| publishDate | 2017-01-01 |
| publisher | University of Novi Sad, Department of Geography, Tourism and Hotel Management |
| record_format | Article |
| series | Geographica Pannonica |
| spelling | doaj.art-ff8d2e4001d940d4bf8143e64f2302ed2022-12-21T23:37:33ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel ManagementGeographica Pannonica0354-87241820-71382017-01-012121061140354-87241702106SSpatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian exampleStankov Uglješa0Armenski Tanja1Klauco Michal2Pavluković Vanja3Cimbaljević Marija4Drakulić-Kovačević Nataša5University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel ManagementUniversity of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel ManagementSlovak Environment Agency, Banská Bystrica, SlovakiaUniversity of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel ManagementUniversity of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel ManagementKovacevic-engineering doo, Banatski KarlovacSpatial autocorrelation methodologies can be used to reveal patterns and temporal changes of different spatial variables, including tourism arrivals. The research adopts a GIS-based approach to spatially analyse tourist arrivals in Serbia, using Global Moran's I and Anselin's Local Moran's I statistics applied on the level of municipalities. To assess feasibility of this approach the article discusses spatial changes of tourist arrivals in order to identify potentially significant trends of interest for tourism development policy in Serbia. There is a significant spatial inequality in the distribution of tourism arrivals in Serbia that is not adequately addressed in tourism development plans. The results of global autocorrelation suggest the existence of low and decreasing spatial clustering for domestic tourist arrivals and high, relatively stable spatial clustering for international tourists. Local autocorrelation statistics revealed different of domestic and international tourism arrivals. In order to assess feasibility of this approach these results are discussed in their significance to tourism development policy in Serbia.http://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2017/0354-87241702106S.pdfspatial autocorrelationGIStourist arrivalsSerbia |
| spellingShingle | Stankov Uglješa Armenski Tanja Klauco Michal Pavluković Vanja Cimbaljević Marija Drakulić-Kovačević Nataša Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example Geographica Pannonica spatial autocorrelation GIS tourist arrivals Serbia |
| title | Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example |
| title_full | Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example |
| title_fullStr | Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example |
| title_full_unstemmed | Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example |
| title_short | Spatial autocorrelation analysis of tourist arrivals using municipal data: A Serbian example |
| title_sort | spatial autocorrelation analysis of tourist arrivals using municipal data a serbian example |
| topic | spatial autocorrelation GIS tourist arrivals Serbia |
| url | http://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2017/0354-87241702106S.pdf |
| work_keys_str_mv | AT stankovugljesa spatialautocorrelationanalysisoftouristarrivalsusingmunicipaldataaserbianexample AT armenskitanja spatialautocorrelationanalysisoftouristarrivalsusingmunicipaldataaserbianexample AT klaucomichal spatialautocorrelationanalysisoftouristarrivalsusingmunicipaldataaserbianexample AT pavlukovicvanja spatialautocorrelationanalysisoftouristarrivalsusingmunicipaldataaserbianexample AT cimbaljevicmarija spatialautocorrelationanalysisoftouristarrivalsusingmunicipaldataaserbianexample AT drakulickovacevicnatasa spatialautocorrelationanalysisoftouristarrivalsusingmunicipaldataaserbianexample |