Multidisciplinary Institute for Environmental Studies “Ramón Margalef” (IMEM), University of Alicante, Ctra. San Vicente del Raspeig, s/n, 03080 Alicante, Spain
Multidisciplinary Institute for Environmental Studies “Ramón Margalef” (IMEM), University of Alicante, Ctra. San Vicente del Raspeig, s/n, 03080 Alicante, Spain
Department of Applied Physics, University of Alicante, Ctra. San Vicente del Raspeig, s/n, 03080 Alicante, Spain
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EndNote: 245
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Total article views: 1,932 (including HTML, PDF, and XML)
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1,329
498
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2,095
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Viewed (geographical distribution)
Total article views: 4,755 (including HTML, PDF, and XML)
Thereof 4,656 with geography defined
and 99 with unknown origin.
Total article views: 1,932 (including HTML, PDF, and XML)
Thereof 1,841 with geography defined
and 91 with unknown origin.
Total article views: 2,823 (including HTML, PDF, and XML)
Thereof 2,815 with geography defined
and 8 with unknown origin.
South and south-eastern Spain has the highest seismicity in the country, but inconsistent fault data limit its use in seismic hazard assessment. This study applies the nearest-neighbour (NN) algorithm and graph theory to analyse clustering patterns. Two regions (western and eastern) with higher and lower (respectively) clustering complexities are identified. The results suggest alternative seismic zonation models, which could improve seismic hazard assessment.
South and south-eastern Spain has the highest seismicity in the country, but inconsistent fault...