Geostatistics in historical macroseismic data analysis

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Abstract

This paper follows a geostatistical approach for the evaluation, modelling and visualization of the possible local interactions between natural components and built-up elements in seismic risk analysis. This method, applied to old town centre of Potenza hilltop town, offers a new point of view for civil protection planning using kernel density and autocorrelation indexes maps to analyse macroseismic damage scenarios and to evaluate the local geological, geomorphological and 1857 earthquake's macroseismic data. © 2009 Springer-Verlag Berlin Heidelberg.

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Danese, M., Lazzari, M., & Murgante, B. (2009). Geostatistics in historical macroseismic data analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5730 LNCS, pp. 324–341). https://doi.org/10.1007/978-3-642-10649-1_19

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