Package: spatialsample 0.5.1.9000

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_0.5.1.9000.tar.gz
spatialsample_0.5.1.9000.zip(r-4.5)spatialsample_0.5.1.9000.zip(r-4.4)spatialsample_0.5.1.9000.zip(r-4.3)
spatialsample_0.5.1.9000.tgz(r-4.4-arm64)spatialsample_0.5.1.9000.tgz(r-4.4-x86_64)spatialsample_0.5.1.9000.tgz(r-4.3-arm64)spatialsample_0.5.1.9000.tgz(r-4.3-x86_64)
spatialsample_0.5.1.9000.tar.gz(r-4.5-noble)spatialsample_0.5.1.9000.tar.gz(r-4.4-noble)
spatialsample_0.5.1.9000.tgz(r-4.4-emscripten)spatialsample_0.5.1.9000.tgz(r-4.3-emscripten)
spatialsample.pdf |spatialsample.html
spatialsample/json (API)
NEWS

# Installspatialsample 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:

9 exports 70 stars 3.89 score 57 dependencies 3 dependents 743 downloads

Last updated 8 months agofrom:9877514c90

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 Jun 08 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