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Image for Spatial Statistics for Data Science: Theory and Practice With R
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Spatial Statistics for Data Science: Theory and Practice With R (1st edition.)

Moraga, Paula
Part of the Chapman & Hall/CRC Data Science Series series
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  • Describes R packages for retrieval, manipulation, and visualization of spatial data
  • Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation, clustering, spatial interpolation, model-based geostatistics, and spatial point processes
  • Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches

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£84.99
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Product Details
Chapman & Hall
1003832334 / 9781003832331
eBook (EPUB)
001.422
08/12/2023
United Kingdom
English
280 pages
Copy: 30%; print: 30%
Description based on CIP data; resource not viewed.
JFS Social groups, JHBC Social research & statistics, PBT Probability & statistics, PS Biology, life sciences, RBGK Geochemistry
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