Analysis and modelling of spatial environmental data
Mikhail Kanevski, Michel Maignan
Date of Publication:
The book consists in a paper-text (analysis of network monitoring, geostatistical method and the most advanced effective application of Artificial Neural Networks for mapping) and in a CD-ROM (paper-text in pdf format, with coloured display of all maps and graphs, ?Geostat Office? software for Ms-Windows and user?s manual).
Table of contents:
Introduction to environmental data analysis and modelling - Exploratory spatial data analysis. Analysis of monitoring networks. Declustering - Spatial data analysis: deterministic interpolations - Introduction to Geostatistics. Variography - Geostatistical spatial predictions - Estimation of local probability density functions - Conditional stochastic simulations - Artificial neural networks and spatial data analysis - Support Vector Machines for environmental spatial data - Geographical Information Systems and spatial data analysis - Conclusions - Glossaries - References.