Geospatial Distribution Dynamics for Simple Features R package griddy version 0.1.0 Tools for exploratory geospatial distribution dynamics with 'sf' objects and tidy data. Provides pooled and time-specific classification of longitudinal spatial values, classic discrete Markov transition matrices, spatial Markov matrices conditioned on spatial-lag classes, endpoint and adjacent rank mobility summaries, and 'ggplot2' visualizations. Methods follow Rey (2001) <doi:10.1111/j.1538-4632.2001.tb00444.x> and Rey et al. (2016) <doi:10.1007/s10109-016-0234-x>; design is inspired by the Python 'PySAL' 'giddy' package <https://pysal.org/giddy/>. Software Depends: R (>= 4.2) Imports: dplyr, ggplot2, rlang, scales, sf, spdep, tibble, tidyr Suggests: cancensus, knitr, microbenchmark, pkgdown, rmarkdown, sfdep, spData, testthat (>= 3.0.0), tidycensus Dmitry Shkolnik <shkolnikd@gmail.com> Comprehensive R Archive Network (CRAN) Dmitry Shkolnik [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=griddy/LICENSE) 2026-05-30 application/tgz https://CRAN.R-project.org/package=griddy doi:10.32614/CRAN.package.griddy en-US