R Observatory: Metrics for griddy version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

griddy

0.1.0Package record

Geospatial Distribution Dynamics for Simple Features

0packages depend

1.5Kdownloads / year

76.5%test coverage

13/13flavors OK

Overview

About

Maintained by Dmitry ShkolnikCRAN page ↗GitHub ↗Website ↗Issues ↗

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/.

Changes in 0.1.0

Initial CRAN release.

Workflow

classify_dynamics(), markov_dynamics(), spatial_markov(), and rank_mobility() accept long sf panels keyed by explicit id, time, and value columns.
transition_matrix(), steady_state(), class_intervals(), and lag_intervals() provide tidy access to results.
plot_transition_matrix(), plot_spatial_markov(), and plot_rank_mobility() return ggplot2 objects.

Spatial weights

spatial_markov() accepts a geometry argument: an sf tibble with one row per spatial unit and nb / wt list-columns produced by sfdep. This is the preferred input. listw and nb arguments remain accepted for compatibility with prior workflows and oracle comparisons.

Show all changes in 0.1.0Hide the rest of the changes in 0.1.0

Data

Bundled usjoin: 48 contiguous US state per-capita personal income, 1929–2009, mirroring PySAL's reference dataset for spatial Markov examples.

Validation

Static fixtures cross-checked against estdaR::sp.mkv() and spdyn::spMarkov(). Optional live cross-checks run when those packages or PySAL giddy are installed.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("griddy", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("dshkol/griddy")

Development version from dshkol/griddy. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-griddy

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-griddy

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-griddy

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.8 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK5 OK2026-05-31

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 285 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 13 (1 internal)includes a package overview page
Examples that run: 100%11 run in a plain check (10 of them under a condition)
Exported functions with examples: 91%
Documented parameters: 83%
Return-value docs: 100%
Help pages citing references: 8%

Vignettes (1)

Geospatial Distribution Dynamics With griddy HTML

How these are measured

Downloads

1.5K

CRAN downloads in the past year

Rank #15,892 · ~4/day · ~122/mo

Releases R versions

Daily download trend is not available in this view yet.

25030 days

78590 days

1.5K1 year

Compare downloads with other packages →

Also on19 r2u2 autocran

How downloads are counted

Repository

dshkol/griddy ↗Account: dshkol

1Stars

0Forks

0Open issues

0Open PRs

0Releases

32Commits

1Commit identities

32 commits · Last activity 2026-08-02 · 0% stars, 30d · Default branch at 0.2.0, ahead of CRAN 0.1.0 (checked 2026-10-22)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 5

Stars over time

2026-07-07 · 02026-09-07 · 1

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/dshkol/griddy on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-08-02 · The repository has a site deploy workflow

pkgdown site last built 2026-05-26, before release 0.1.0 (2026-05-30)

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-04-27
Named in .Rbuildignore: .claude
Named in .gitignore: .claude
Pull request it wrote: opened by a project member
Commits: at least 7 crediting it in the message

Models named in its commits

Claude Fable 57 commits · Jun to Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing griddy adds 42 packages (26 with compiled code, 58 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.2

Imports (8)

dplyr ggplot2 rlang scales sf spdep tibble tidyr

LinkingTo (0)

none

Suggests (9)

cancensus knitr microbenchmark pkgdown rmarkdown sfdep spData testthat tidycensus

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Dmitry Shkolnik

Author, Maintainer since 0.1.0 (2026)

Releases (1)

0.1.0Latest
record
2026-05-30 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-30
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.2
Bundled data: 7.0 KB / 1 file
Download size: 236 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("griddy")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for griddy version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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