Package: griddy 0.1.0

Dmitry Shkolnik

griddy: Geospatial Distribution Dynamics for Simple Features

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/>.

Authors:Dmitry Shkolnik [aut, cre]

griddy_0.1.0.tar.gz
griddy_0.1.0.tar.gz(r-4.7-any)griddy_0.1.0.tar.gz(r-4.6-any)
griddy_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
griddy/json (API)
NEWS

# Install 'griddy' in R:
install.packages('griddy', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dshkol/griddy/issues

Pkgdown/docs site:https://dshkol.github.io

Datasets:
  • usjoin - US State Per-Capita Personal Income, 1929-2009

On CRAN:

Conda:

2.70 score 11 exports 47 dependencies

Last updated from:f47889b52c. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK158
source / vignettesOK195
linux-release-x86_64OK145
wasm-releaseOK135

Exports:class_intervalsclassify_dynamicslag_intervalsmarkov_dynamicsplot_rank_mobilityplot_spatial_markovplot_transition_matrixrank_mobilityspatial_markovsteady_statetransition_matrix

Dependencies:bootclassclassIntclicpp11DBIdeldirdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfspspDataspdepstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk

Geospatial Distribution Dynamics With griddy

Rendered fromgriddy.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2026-05-30
Started: 2026-05-30