Package: griddy Title: Geospatial Distribution Dynamics for Simple Features Version: 0.1.0 Authors@R: person("Dmitry", "Shkolnik", email = "shkolnikd@gmail.com", role = c("aut", "cre")) Description: 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) and Rey et al. (2016) ; design is inspired by the Python 'PySAL' 'giddy' package . URL: https://github.com/dshkol/griddy, https://dshkol.github.io/griddy/ BugReports: https://github.com/dshkol/griddy/issues License: MIT + file LICENSE Encoding: UTF-8 Language: en-US Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 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 VignetteBuilder: knitr Config/testthat/edition: 3 LazyData: true Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev libicu-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://dshkol.r-universe.dev Date/Publication: 2026-05-27 16:32:44 UTC RemoteUrl: https://github.com/dshkol/griddy RemoteRef: HEAD RemoteSha: e9a36d2930eeffda04abd8f41adf33737ad29845 NeedsCompilation: no Packaged: 2026-07-04 12:10:11 UTC; root Author: Dmitry Shkolnik [aut, cre] Maintainer: Dmitry Shkolnik