Title: Geostatistics: Spatial Predictions and Simulations
Abstract: Chapter 3 Geostatistics: Spatial Predictions and Simulations E. Savelieva, E. SavelievaSearch for more papers by this authorV. Demyanov, V. DemyanovSearch for more papers by this authorM. Maignan, M. MaignanSearch for more papers by this author E. Savelieva, E. SavelievaSearch for more papers by this authorV. Demyanov, V. DemyanovSearch for more papers by this authorM. Maignan, M. MaignanSearch for more papers by this author Book Editor(s):Mikhail Kanevski, Mikhail KanevskiSearch for more papers by this author First published: 01 January 2008 https://doi.org/10.1002/9780470611463.ch3Citations: 1 Series Editor(s): Pierre Dumolard, Pierre DumolardSearch for more papers by this author AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary This chapter contains sections titled: Assumptions of geostatistics Family of kriging models Family of co-kriging models Probability mapping with indicator kriging Description of spatial uncertainty with conditional stochastic simulations References Citing Literature Advanced Mapping of Environmental Data: Geostatistics, Machine Learning and Bayesian Maximum Entropy RelatedInformation
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 4
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