Advanced mapping of environmental data: Geostatistics, Machine Learning and Bayesian Maximum Entropy

Détails

ID Serval
serval:BIB_179A18E2CD5E
Type
Livre: un livre et son éditeur.
Collection
Publications
Institution
Titre
Advanced mapping of environmental data: Geostatistics, Machine Learning and Bayesian Maximum Entropy
Auteur(s)
Kanevski M.
Editeur
ISTE Ltd and Wiley Press
ISBN
9781848210608
Statut éditorial
Publié
Date de publication
2008
Editeur scientifique
Kanveski M.
Volume
5072
Langue
anglais
Nombre de pages
328
Notes
Kanevski2008a
Résumé
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.
Création de la notice
25/11/2013 17:18
Dernière modification de la notice
20/08/2019 12:47
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