An application of spatial statistics: Spatial analysis of simulated fault plane geodetic points

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