USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS
Monitoring the changes occurring over time in the spatial distribution of tourism and the interpretation of the effects of these changes correctly will contribute to tourism planning practices more efficiently and effectively. In this study, the spatial distribution of the number of accommodations i...
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| Format: | Article |
| Language: | deu |
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Institut für die Welt der Türken
2015-08-01
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| Series: | Zeitschrift für die Welt der Türken |
| Subjects: | |
| Online Access: | http://www.dieweltdertuerken.org/index.php/ZfWT/article/view/685/685 |
| _version_ | 1818756248549457920 |
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| author | İsmail KERVANKIRAN |
| author_facet | İsmail KERVANKIRAN |
| author_sort | İsmail KERVANKIRAN |
| collection | DOAJ |
| description | Monitoring the changes occurring over time in the spatial distribution of tourism and the interpretation of the effects of these changes correctly will contribute to tourism planning practices more efficiently and effectively. In this study, the spatial distribution of the number of accommodations in Turkey was
analyzed by districts between 2000 and 2013. The study aimed at analyzing the size, distribution, and spatial clustering of accommodations by districts between 2000 – 2013, and how this clustering changed over the 14-year period. The number of accommodations by districts was obtained from the Ministry of Culture and Tourism, and Turkish Statistical Institute (TurkStat) for the time period between 2000 and 2013. Temporal and spatial analysis of the data was carried out using ArcGIS 10.1 software. In the study, first, the distribution of the number of tourists accommodated in the facilities certified by the Ministry was
mapped by districts for the years 2000, 2005, and 2013, then the tourism development model of the districts was generated. The spatial distribution of the accommodations by districts was assessed by using Average Centers, Weighted Average Centers, Standard Distance, and Standard Deviation Ellipses. Spatial
clustering of the accommodations was analyzed with Spatial Autocorrelation (Moran’s I, LISA, Getis Ord Gi*). |
| first_indexed | 2024-12-18T05:52:02Z |
| format | Article |
| id | doaj.art-9d2949239aed4533b6ad04fa74abafcb |
| institution | Directory Open Access Journal |
| issn | 1868-8934 1868-8934 |
| language | deu |
| last_indexed | 2024-12-18T05:52:02Z |
| publishDate | 2015-08-01 |
| publisher | Institut für die Welt der Türken |
| record_format | Article |
| series | Zeitschrift für die Welt der Türken |
| spelling | doaj.art-9d2949239aed4533b6ad04fa74abafcb2022-12-21T21:18:54ZdeuInstitut für die Welt der TürkenZeitschrift für die Welt der Türken1868-89341868-89342015-08-0172217241USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTSİsmail KERVANKIRAN0Assistant ProfessorMonitoring the changes occurring over time in the spatial distribution of tourism and the interpretation of the effects of these changes correctly will contribute to tourism planning practices more efficiently and effectively. In this study, the spatial distribution of the number of accommodations in Turkey was analyzed by districts between 2000 and 2013. The study aimed at analyzing the size, distribution, and spatial clustering of accommodations by districts between 2000 – 2013, and how this clustering changed over the 14-year period. The number of accommodations by districts was obtained from the Ministry of Culture and Tourism, and Turkish Statistical Institute (TurkStat) for the time period between 2000 and 2013. Temporal and spatial analysis of the data was carried out using ArcGIS 10.1 software. In the study, first, the distribution of the number of tourists accommodated in the facilities certified by the Ministry was mapped by districts for the years 2000, 2005, and 2013, then the tourism development model of the districts was generated. The spatial distribution of the accommodations by districts was assessed by using Average Centers, Weighted Average Centers, Standard Distance, and Standard Deviation Ellipses. Spatial clustering of the accommodations was analyzed with Spatial Autocorrelation (Moran’s I, LISA, Getis Ord Gi*).http://www.dieweltdertuerken.org/index.php/ZfWT/article/view/685/685TourismSpatial AnalysisAccommodationTurkey |
| spellingShingle | İsmail KERVANKIRAN USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS Zeitschrift für die Welt der Türken Tourism Spatial Analysis Accommodation Turkey |
| title | USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS |
| title_full | USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS |
| title_fullStr | USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS |
| title_full_unstemmed | USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS |
| title_short | USING SPATIAL DATA ANALYSIS TECHNIQUES IN TOURISM: A CASE STUDY ON ACCOMMODATION IN TURKEY BY DISTRICTS |
| title_sort | using spatial data analysis techniques in tourism a case study on accommodation in turkey by districts |
| topic | Tourism Spatial Analysis Accommodation Turkey |
| url | http://www.dieweltdertuerken.org/index.php/ZfWT/article/view/685/685 |
| work_keys_str_mv | AT ismailkervankiran usingspatialdataanalysistechniquesintourismacasestudyonaccommodationinturkeybydistricts |