Geostatistics in historical macroseismic data analysis

  • Authors:
  • Maria Danese;Maurizio Lazzari;Beniamino Murgante

  • Affiliations:
  • National Research Council, Archaeological and monumental heritage institute, Tito Scalo, (PZ), Italy;National Research Council, Archaeological and monumental heritage institute, Tito Scalo, (PZ), Italy;Laboratory of Urban and Territorial Systems, University of Basilicata, Potenza, Italy

  • Venue:
  • Transactions on Computational Science VI
  • Year:
  • 2009

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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.