Package: spatialsample 0.6.0.9000

Michael Mahoney

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.

Authors:Michael Mahoney [aut, cre], Julia Silge [aut], Posit Software, PBC [cph, fnd]

spatialsample_0.6.0.9000.tar.gz
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spatialsample.pdf |spatialsample.html✨
spatialsample/json (API)
NEWS

# Install 'spatialsample' in R:
install.packages('spatialsample', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tidymodels/spatialsample/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

8.64 score 71 stars 2 packages 123 scripts 1.1k downloads 9 exports 57 dependencies

Last updated 2 months agofrom:ded16914d8. Checks:OK: 3 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64OKNov 01 2024
R-4.5-linux-x86_64OKNov 01 2024
R-4.4-win-x86_64WARNINGNov 01 2024
R-4.4-mac-x86_64WARNINGNov 01 2024
R-4.4-mac-aarch64WARNINGNov 01 2024
R-4.3-win-x86_64WARNINGNov 01 2024
R-4.3-mac-x86_64WARNINGNov 01 2024
R-4.3-mac-aarch64WARNINGNov 01 2024

Exports:analysisassessmentautoplotget_rsplitspatial_block_cvspatial_buffer_vfold_cvspatial_clustering_cvspatial_leave_location_out_cvspatial_nndm_cv

Dependencies:classclassIntclicodetoolscolorspacecpp11DBIdigestdplyre1071fansifarverfurrrfuturegenericsggplot2globalsgluegtableisobandKernSmoothlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigproxypurrrR6RColorBrewerRcpprlangrsamples2scalessfsliderstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewarpwithrwk

Using spatial resamples for analysis

Rendered fromspatialsample.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2023-03-14
Started: 2021-01-20

Readme and manuals

Help Manual

Help pageTopics
Create a ggplot for spatial resamples.autoplot.spatial_block_cv autoplot.spatial_rset
Boston tree canopy and heat index data.boston_canopy
Spatial block cross-validationspatial_block_cv
V-Fold Cross-Validation with Bufferingspatial_buffer_vfold_cv spatial_leave_location_out_cv
Spatial Clustering Cross-Validationspatial_clustering_cv
Nearest neighbor distance matching (NNDM) cross-validationspatial_nndm_cv