Application of geographic information system (gis) and neural networking in identification and prediction of tourist hot spots: case of aegean region of turkey
Yazarlar (1)
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
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| Makale Dili | – | Basım Tarihi | 01-2021 |
| Makale Linki | https://scholar.google.com/scholar?cluster=4651855620508378007&hl=en&oi=scholarr | ||
| UAK Araştırma Alanları |
Bilgi Sistemleri
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| Özet |
| The exploratory data analysis tools of Geographic Information System (GIS) are found very helpful to explain the extent of spatial dependence and association of various important variables of different scientific fields of inquiry. Exploratory Spatial Data Analysis (ESDA), which is part of spatial statistics tools of GIS, and the application of Global Moran’s I statistics are very important in providing visual insights of spatial data. These tools are very helpful in detection and identification of spatial patterns and hotspots of an activity or process, through the measurement of spatial autocorrelation. Similarly, the use of Neural Network has also become very useful technique in predicting and projecting various spatial parameters of interest over the space. In recent years, the application of GIS and Neural Networking has gained much popularity in tourism studies. Tourism has become leading economic activity in the world in … |
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