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Spatial distribution analysis of seismic activity based on GMI, LMI, and LISA in China / Ziyi Cao in Open geosciences, vol 14 n° 1 (January 2023)  

Public [article]  inOpen geosciences > vol 14 n° 1 (January 2023) . - pp 89 - 97 Titre : Spatial distribution analysis of seismic activity based on GMI, LMI, and LISA in China Type de document : Article/Communication Auteurs : Ziyi Cao, Auteur ; Heng Zhang, Auteur ; Yan Liu, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 89 - 97 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] analyse diachronique [Termes IGN] autocorrélation spatiale [Termes IGN] Chine [Termes IGN] distribution spatiale [Termes IGN] séisme [Termes IGN] sismicité Résumé : (auteur) Recently, all kinds of geological disasters happen frequently on the earth. In China, there are countless earthquakes every year, which greatly affect the country’s economic level and development as well as the people’s life and health. The analysis of seismic activity is becoming more and more significant. In this article, the spatial distribution of China’s seismic activities was analyzed by using the provincial seismic data from 1970 to 2013. On the basis of spatial autocorrelation analysis theory, Global Moran’s I, Local Moran’s I, and the Local Indicators of Spatial Association are used to measure the geospatial distribution characteristics of China’s seismic activities. The research results show that earthquakes in mainland China have significant global autocorrelation characteristics as a whole, and the global autocorrelation coefficients are all positive. And the Z-value test (P Numéro de notice : A2023-052 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article En ligne : https://doi.org/10.1515/geo-2020-0332 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102383 [article]