An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points
Öz
In this study, simulated fault plane geodetic points are analyzed by using spatial statistics. The synthetic geodetic points are generated to understand the basic spatial structure of the fault plane because of the difficulty about obtaining real data set. The spatial statistics are applied to geodetic point data with three main items: (i) spatial descriptive statistics, e.g. spatial mean (center mean-CM), standard distance (SD), standard deviational ellipse (SDE), (ii) spatial pattern analyses, e.g. quadrat count method, the nearest neighbor approach, (iii) spatial autocorrelation, e.g. Moran’s I index. It is seen from the application results that spatial autocorrelation should be taken into consideration during the spatial analysis of geodetic point data to understand if the surface displacements on the locations are clustered or not.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
15 Mart 2019
Gönderilme Tarihi
25 Eylül 2018
Kabul Tarihi
16 Ocak 2019
Yayımlandığı Sayı
Yıl 2019 Cilt: 21 Sayı: 1
Cited By
Evsel katı atık oluşum miktarlarının küresel ve yerel mekânsal otokorelasyon yöntemleri ile incelenmesi
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
https://doi.org/10.28948/ngumuh.871183Mekânsal Nokta Verilerinin Mekânsal İstatistiklerle Analizi: Yenilebilir Enerji Kaynakları Uygulaması
International Journal of Advances in Engineering and Pure Sciences
https://doi.org/10.7240/jeps.1527355