An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points
Abstract
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.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Publication Date
March 15, 2019
Submission Date
September 25, 2018
Acceptance Date
January 16, 2019
Published in Issue
Year 2019 Volume: 21 Number: 1
Cited By
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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