This specific ISBN edition is currently not available.View all copies of this ISBN edition:
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.
"synopsis" may belong to another edition of this title.
Mikhail Kanevski, Institute of Geomatics and Analysis of Risk, University of Lausanne, Switzerland.Review:
"It gives a good overview, is clearly written, is concise, and includes many references to papers published in the different areas." (Zentralblatt MATH, 2011)
"About this title" may belong to another edition of this title.
(No Available Copies)
If you know the book but cannot find it on AbeBooks, we can automatically search for it on your behalf as new inventory is added. If it is added to AbeBooks by one of our member booksellers, we will notify you!Create a Want