Advanced Mapping of Environmental Data Geostatistics, Machine Learning and Bayesian Maximum Entropy
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, condit...
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ
Wiley
2008, ©2008
London Iste |
| Series: | Geographical information systems series.
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| Online Access: | |
| Collection: | Wiley Online Books - Collection details see MPG.ReNa |
| Summary: | 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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| ISBN: | 9780470611463 |