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Spatial Statistics for Data Science

Theory and Practice with R

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Chapman and Hall/CRC, December 2023
Describes R packages for retrieval, manipulation, and visualization of spatial data Offers a compreh... Full description
? points 189 b
78.19
In stock Immediate digital delivery

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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