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: 0.6.0 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: 2024-10-02 DOI: 10.32614/CRAN.package.spatialsample Author: Michael Mahoney [aut, cre], Julia Silge [aut], Posit Software, PBC [cph, fnd] Maintainer: Michael Mahoney <mike.mahoney.218 at gmail.com> BugReports: https://github.com/tidymodels/spatialsample/issues License: MIT + file LICENSE URL: https://github.com/tidymodels/spatialsample, https://spatialsample.tidymodels.org NeedsCompilation: yes Citation: spatialsample citation info Materials: README NEWS In views: Spatial CRAN checks: spatialsample results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=spatialsample to link to this page.
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