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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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52 b
52 b
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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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