Package: griddy
Title: Geospatial Distribution Dynamics for Simple Features
Version: 0.2.0
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, ergodic-chain summaries,
        transition-regime homogeneity tests, 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/>.
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: 2026-08-02 00:45:04 UTC
RemoteUrl: https://github.com/dshkol/griddy
RemoteRef: HEAD
RemoteSha: 8b731bb0476fdd14270981a1842ec68f848c2c27
NeedsCompilation: no
Packaged: 2026-10-01 07:45:41 UTC; root
Author: Dmitry Shkolnik [aut, cre]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>