Geostatistics in Historical Macroseismic Data Analysis

被引：0
|
作者：
Danese, Maria [1 ,2 ]
Lazzari, Maurizio [1 ]
Murgante, Beniamino [2 ]
机构：
[1] CNR, Archaeol & Monumental Heritage Inst, I-85050 Tito, PZ, Italy
[2] Univ Basilicata, Lab Urban & Terr Syst, I-85100 Potenza, Italy
来源：
TRANSACTIONS ON COMPUTATIONAL SCIENCE VI | 2009年 / 5730卷
关键词：
Geostatistics; Nearest-Neighbour Index; Kernel Density Estimation; Spatial Autocorrelation; Macroseismic data analysis; Southern Italy; BANDWIDTH SELECTION; SPATIAL ASSOCIATION; DENSITY-ESTIMATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：324 / +
页数：4
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