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Spatial Resampling Infrastructure
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Functions and classes for spatial resampling to use with the rsample package, such as spatial cross-validation (Brenning, 2012) . The scope of rsample and spatialsample is to provide the basic buildin
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2026-02-24 20:03:02
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Spatial Resampling Infrastructure • spatialsample Skip to content spatialsample 0.6.0 Get started Reference Articles Buffering Changelog spatialsample Introduction The goal of spatialsample is to provide functions and classes for spatial resampling to use with rsample , including: spatial clustering cross-validation spatial block cross-validation spatially buffered cross-validation leave-location-out cross-validation Like rsample , spatialsample provides building blocks for creating and analyzing resamples of a spatial data set but does not include code for modeling or computing statistics. The resampled data sets created by spatialsample are efficient and do not have much memory overhead. Installation You can install the released version of spatialsample from CRAN with: install.packages ( "spatialsample" ) And the development version from GitHub with: # install.packages("pak") pak :: pak ( "tidymodels/spatialsample" ) Exa...
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12 - cran.r-project.org, pak.r-lib.org, ggplot2.tidyverse.org, purrr.tidyverse.org, forum.posit.co, reprex.tidyverse.org, cloud.r-project.org, pkgdown.r-lib.org
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