spatialsample: Spatial Resampling Infrastructure

Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.

Version: 0.1.0
Depends: R (≥ 3.2)
Imports: dplyr (≥ 1.0.0), purrr, rlang, rsample (≥ 0.0.9), tibble, tidyselect, vctrs (≥ 0.3.6)
Suggests: ggplot2, knitr, modeldata, rmarkdown, tidyr, testthat (≥ 3.0.0), yardstick, covr
Published: 2021-03-04
Author: Julia Silge ORCID iD [aut, cre], RStudio [cph]
Maintainer: Julia Silge <julia.silge at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: Spatial
CRAN checks: spatialsample results


Reference manual: spatialsample.pdf
Vignettes: Using spatial resamples for analysis


Package source: spatialsample_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spatialsample_0.1.0.tgz, r-oldrel (arm64): spatialsample_0.1.0.tgz, r-release (x86_64): spatialsample_0.1.0.tgz, r-oldrel (x86_64): spatialsample_0.1.0.tgz


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