Turkey, a country affected by natural disasters is natural disasters such as flooding and landslides are seen frequently. Floods and landslides are one of the common natural disasters in Turkey. The use of GIS-based spatial statistical analysis in disaster studies has increased in recent years. From this point, it is essential to examine the spatial distribution of disasters to prevent and mitigate disasters. In this study, flood and landslides disasters that occurred between 1960 and 2018 in Turkey is aimed to determine the spatial analysis using spatial autocorrelation methods. The problem of how these two disaster types distribute is the most pressing thing in disaster risk assessment. Data set was taken from the Disaster Knowledge Base system (TABB) of the Republic Of Turkey Ministry Of Interior Disaster And Emergency Management Presidency. Various indices related to spatial autocorrelation were classified and also they were explained mathematically. Spatial autocorrelation indices such as Moran's I, Getis Ord G, and Geary C were used to determine whether there were clustering in the data set. The rates of flood and landslide in the provinces showing clustering and their distribution are examined and also Flood and landslide distributions in clustered provinces were examined, tested with indices and compared and the results are presented in detail.
Natural Disasters Spatial Analysis Spatial Autocorrelation Temporal Analysis
Birincil Dil | İngilizce |
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Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 30 Haziran 2020 |
Gönderilme Tarihi | 31 Ocak 2020 |
Kabul Tarihi | 21 Nisan 2020 |
Yayımlandığı Sayı | Yıl 2020 |