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Advanced Mapping of Environmental Data (Geographical Information Systems) PDF

329 Pages·2008·7.009 MB·English
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Description:
This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.