spatialkit: Spatial Tessellation, Modeling, and Cross-Validation Toolkit

A modular toolkit for spatial analysis workflows including coordinate reference system management, Voronoi/Delaunay/grid tessellation, feature-to-polygon assignment, geographically weighted regression (GWR, via 'GWmodel'), Bayesian spatial Gaussian process regression (via 'brms'), spatial cross-validation with block and buffered strategies, and model comparison. Provides an S3 class system ('spatial_fit') with consistent predict, fitted, and residuals methods across model backends.

Version:	1.0.0
Depends:	R (≥ 4.1.0)
Imports:	sf (≥ 1.0), dplyr (≥ 1.0), logger, digest, stats, methods, utils, parallel
Suggests:	sp, GWmodel, brms, cmdstanr, loo, tibble, geometry, gstat, ggplot2, patchwork, FNN, Matrix, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-08-07
DOI:	10.32614/CRAN.package.spatialkit (may not be active yet)
Author:	Justin Chase [aut, cre, cph]
Maintainer:	Justin Chase <jchase.msu at gmail.com>
BugReports:	https://github.com/elkronos/gis_modeling_toolkit/issues
License:	MIT + file LICENSE
URL:	https://github.com/elkronos/gis_modeling_toolkit
NeedsCompilation:	no
Additional_repositories:	https://stan-dev.r-universe.dev
Materials:	README
CRAN checks:	spatialkit results

Documentation:

Reference manual:	spatialkit.html , spatialkit.pdf
Vignettes:	spatialkit Demo — Tessellations & Models (source, R code)

Downloads:

Package source:	spatialkit_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): spatialkit_1.0.0.tgz, r-oldrel (arm64): spatialkit_1.0.0.tgz, r-release (x86_64): spatialkit_1.0.0.tgz, r-oldrel (x86_64): spatialkit_1.0.0.tgz

Linking:

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