TY  - BOOK
AU  - Kanevski,Mikhail
TI  - Advanced mapping of environmental data: geostatistics, machine learning and Bayesian maximum entropy 
T2  - Geographical information systems series
SN  - 9781848210608
AV  - QE33.2.S82 A35 2008
U1  - 550.1/519542 22
PY  - 2008///
CY  - Hoboken, N. J.
PB  - Wiley-ISTE
KW  - Geology
KW  - Statistical methods
KW  - Machine learning
KW  - Bayesian statistical decision theory
KW  -  Electronic books
N1  - Includes bibliographical references and index; Advanced mapping of environmental data: introduction / M. Kanevski -- Environmental monitoring network characterization and clustering / D. Tuia and M. Kanevski -- Geostatistics: spatial predictions and simulations / E. Savelieva, V. Demyanov and M. Maignan -- Spatial data analysis and mapping using machine learning algorithms / F. Ratle [and others] -- Advanced mapping of environmental spatial data: case studies / L. Foresti [and others] -- Bayesian maximum entropy -- BME / G. Christakos
N2  - "This title, brings together three topics normally covered separately: geostatistical methods and models, machine learning algorithms and the Bayesian maximum entropy approach. An introduction to environmental data mapping is provided before these areas, their features and applications are discussed in more depth. The approach is designed to assist the reader in easily expanding their knowledge of the fields covered, and will be useful for both students and professionals involved in environmental data analysis and mapping."--BOOK JACKET
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463
ER  -