{"id":15655,"date":"2012-01-01T00:00:58","date_gmt":"2011-12-31T23:00:58","guid":{"rendered":"http:\/\/criep.eu\/?p=15655"},"modified":"2022-06-08T15:05:32","modified_gmt":"2022-06-08T13:05:32","slug":"agostinelli-c-albarea-a-romanazzi-m-2012-spatial-clustering-of-earthquakes-by-data-depth","status":"publish","type":"post","link":"https:\/\/www.criep.eu\/en\/agostinelli-c-albarea-a-romanazzi-m-2012-spatial-clustering-of-earthquakes-by-data-depth\/","title":{"rendered":"Agostinelli C., Albarea A., Romanazzi M. (2012). Spatial clustering of earthquakes by data depth. In Okada A., Vicari D., Ragozini G., Analysis and modeling of Complex Data."},"content":{"rendered":"

Agostinelli C., Albarea A.<\/a>, Romanazzi M. (2012).<\/p>\n

Spatial clustering of earthquakes by data depth. In Okada A., Vicari D., Ragozini G., Analysis and modeling of Complex Data.<\/strong> Behavioural and Social Sciences, CLEUP, Convegno: JCS-CLADAG 12 Joint Meeting of the Japanese Classification Society and the Italian Classification and Data Analysis Group, September 3-4, 2012<\/a>.<\/p>\n

 <\/p>\n

Abstract:<\/strong><\/p>\n

We study the spatial clustering of earthquake epicenters using statistical depth. Data are spatial coordinates of Italian earthquake epicenters recorded in the period 1600 — 2003 with magnitude greater than $4.5$ $M_w$. In general, data depth provides a centrality ordering according to a reference data set or probability distribution. In the present application, the depth value of a particular location with respect to the spatial distribution of epicenters is interpreted as a measure of seismic risk, i. e., deeper locations have higher risks. Hence, depth contours describe the risk profile of a territory. Both global and local depth functions are used, the former defining a monotonic ranking of the locations covered by the catalogue, the latter aimed at a more flexible ranking, possibly with multiple centers.<\/p>\n","protected":false},"excerpt":{"rendered":"

Agostinelli C., Albarea A., Romanazzi M. (2012). Spatial clustering of earthquakes by data depth. In Okada A., Vicari D., Ragozini G., Analysis and modeling of…<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[32],"tags":[],"coauthors":[167],"class_list":["post-15655","post","type-post","status-publish","format-standard","hentry","category-pubblicazioni","category-32","description-off"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t