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: 0.5.1
Depends: R (≥ 3.6)
Imports: dplyr (≥ 1.0.0), ggplot2, glue, purrr, rlang (≥ 1.0.0), rsample (≥ 1.1.1), sf (≥ 1.0-9), stats, tibble, tidyselect, units, vctrs (≥ 0.3.6)
LinkingTo: cpp11
Suggests: covr, gifski, knitr, lwgeom, modeldata, rmarkdown, testthat (≥ 3.0.0), tidyr, vdiffr, whisker, withr, yardstick
Published: 2023-11-08
DOI: 10.32614/CRAN.package.spatialsample
Author: Michael Mahoney ORCID iD [aut, cre], Julia Silge ORCID iD [aut], Posit Software, PBC [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218 at>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: spatialsample citation info
Materials: README NEWS
In views: Spatial
CRAN checks: spatialsample results


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


Package source: spatialsample_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): spatialsample_0.5.1.tgz, r-oldrel (arm64): spatialsample_0.5.1.tgz, r-release (x86_64): spatialsample_0.5.1.tgz, r-oldrel (x86_64): spatialsample_0.5.1.tgz
Old sources: spatialsample archive

Reverse dependencies:

Reverse depends: tidysdm
Reverse suggests: waywiser


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