Computational Statistics & Data Analysis
A comparative study of several smoothing methods in density estimation
Computational Statistics & Data Analysis
Estimating probability surfaces for geographical point data: an adaptive kernel algorithm
Computers & Geosciences
A cross-validation bandwidth choice for kernel density estimates with selection biased data
Journal of Multivariate Analysis
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Analyzing the central business district: the case of sassari in the sardinia island
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
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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.