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
spatialsample_0.6.0.9000.zip(r-4.7)spatialsample_0.6.0.9000.zip(r-4.6)spatialsample_0.6.0.9000.zip(r-4.5)
spatialsample_0.6.0.9000.tgz(r-4.6-x86_64)spatialsample_0.6.0.9000.tgz(r-4.6-arm64)spatialsample_0.6.0.9000.tgz(r-4.5-x86_64)spatialsample_0.6.0.9000.tgz(r-4.5-arm64)
spatialsample_0.6.0.9000.tar.gz(r-4.7-arm64)spatialsample_0.6.0.9000.tar.gz(r-4.7-x86_64)spatialsample_0.6.0.9000.tar.gz(r-4.6-arm64)spatialsample_0.6.0.9000.tar.gz(r-4.6-x86_64)
spatialsample_0.6.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spatialsample/json (API)

# Install 'spatialsample' in R:

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

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

Pkgdown/docs site:https://spatialsample.tidymodels.org

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

boston_canopy - Boston tree canopy and heat index data.

On CRAN:

cpp

9.52 score 78 stars 4 packages 305 scripts 3.8k downloads 9 exports 51 dependencies

Last updated from:9a44b7c273. Checks:10 OK, 3 WARNING. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	350
linux-devel-x86_64	OK	347
source / vignettes	OK	280
linux-release-arm64	OK	348
linux-release-x86_64	OK	374
macos-release-arm64	OK	198
macos-release-x86_64	OK	386
macos-oldrel-arm64	WARNING	198
macos-oldrel-x86_64	WARNING	437
windows-devel	OK	308
windows-release	OK	299
windows-oldrel	WARNING	293
wasm-release	OK	130

Exports:analysis assessment autoplot get_rsplit spatial_block_cv spatial_buffer_vfold_cv spatial_clustering_cv spatial_leave_location_out_cv spatial_nndm_cv

Dependencies:class classInt cli codetools cpp11 DBI digest dplyr e1071 farver furrr future generics ggplot2 globals glue gtable isoband KernSmooth labeling lifecycle listenv magrittr MASS parallelly pillar pkgconfig proxy purrr R6 RColorBrewer Rcpp rlang rsample s2 S7 scales sf slider stringi stringr tibble tidyr tidyselect units utf8 vctrs viridisLite warp withr wk

Using spatial resamples for analysis

Rendered fromspatialsample.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
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-validation	spatial_block_cv
V-Fold Cross-Validation with Buffering	spatial_buffer_vfold_cv spatial_leave_location_out_cv
Spatial Clustering Cross-Validation	spatial_clustering_cv
Nearest neighbor distance matching (NNDM) cross-validation	spatial_nndm_cv