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Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.
Spatial prediction and mapping temperature
Classical kriging and INLA
Language
English
English
Book
Paperback
Temperature, one of the most important atmospheric variables, has a direct impact on physical and bi...
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Libristo code: 16336003
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Temperature, one of the most important atmospheric variables, has a direct impact on physical and biological processes and its analysis in space and time play a crucial role in studying climate change. Here the results of a comparison between two ways of estimating models of spatial dependence are evaluated: kriging methods and Bayesian inference using the Integrated Nested Laplace Approximation (INLA).
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About the book
Full name
Spatial prediction and mapping temperature
Author
Laura Serra, Pablo Juan, Diego Varga
Language
English
English
Binding
Book - Paperback
Date of issue
2017
Number of pages
52
EAN
9783330075719
Libristo code
16336003
Publishers
LAP Lambert Academic Publishing
Weight
96
Dimensions
150 x 220 x 3
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