THE ANALYSIS OF SPATIAL AUTOCORRELATION FOR THE EARTHQUAKES
Authors:
Lirong Yin, Geographical & Sustainability Sciences Department, University of Iowa, Iowa City, IA, 52242, USA
Abstract:
The paper analyzed the seismic data of County in 1970-2013 using the theory of spatial autocorrelation. Global indices of Moran's I, the local Moran scatter plot, LISA gathered figures and other indicators were applied to do measure and empirical analysis. Research results are following: the County’s earthquakes have positive spatial autocorrelation characteristics, Global Spatial autocorrelation features are notable, the overall pattern of distribution has spatial agglomeration, the differences of seismic activity have a decreasing tendency in different regions of the County.There is significant global autocorrelation features of China continental earthquakes, global autocorrelation coefficients are positive, indicating that mainland China earthquake pattern of spatial agglomeration. The frequency of County earthquake is being spatial accumulation but there are a few local discrete because of spatial heterogeneity, the earthquake happened not only because of where the area adjacent to, but all the geological structure of the area also has a great influence. The great changes of 1976 Tangshan earthquake 75-79 stages gathering have taken place.
Keywords:
Seismic, Spatial Autocorrelation, Global Spatial Autocorrelation, Local Spatial Autocorrelation
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Citations:
APA:
Yin, L., (2021). The Analysis of Spatial Autocorrelation for the Earthquakes. International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, 14(2), 35-46. doi: 10.33832/ijgdc.2021.14.2.04.
MLA:
Yin, Lirong, “The Analysis of Spatial Autocorrelation for the Earthquakes.” International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 14, no. 2, 2021, pp. 35-46. IJGDC, http://article.nadiapub.com/IJGDC/vol14_no2/4.html.
IEEE:
[1] L. Yin, "The Analysis of Spatial Autocorrelation for the Earthquakes." International Journal of Grid and Distributed Computing (IJGDC), ISSN: 2005-4262 (Print); 2207-6379 (Online), NADIA, vol. 14, no. 2, pp. 35-46, July 2021.
