{"Package":"geomander","Type":"Package","Title":"Geographic Tools for Studying Gerrymandering","Version":"2.5.2","Authors@R":"c(\nperson(\"Christopher T.\", \"Kenny\",\nemail = \"ctkenny@proton.me\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9386-6860\")),\nperson(\"Cory\", \"McCartan\", email = \"mccartan@psu.edu\",\nrole = \"ctb\", comment = c(ORCID = \"0000-0002-6251-669X\"))\n)","Description":"A compilation of tools to complete common tasks for studying gerrymandering.\nThis focuses on the geographic tool side of common problems, such as linking\ndifferent levels of spatial units or estimating how to break up units. Functions\nexist for creating redistricting-focused data for the US.","License":"MIT + file LICENCE","URL":"https://christophertkenny.com/geomander/,\nhttps://github.com/christopherkenny/geomander","BugReports":"https://github.com/christopherkenny/geomander/issues","RoxygenNote":"7.3.3","LinkingTo":"Rcpp (>= 1.0.7)","Imports":"baf, censable, cli, dataverse, dplyr, geos, ggplot2, readr,\nrlang, Rcpp, sf, stringr, tibble, tidyr, tinytiger","Depends":"R (>= 4.1.0)","Suggests":"redist, knitr, rmarkdown, testthat (>= 3.0.0), RcppSimdJson,\nspelling","LazyData":"true","Encoding":"UTF-8","VignetteBuilder":"knitr","Config/testthat/edition":"3","Language":"en-US","NeedsCompilation":"yes","Packaged":"2025-12-11 16:17:39 UTC; chris","Author":"Christopher T. Kenny [aut, cre] (ORCID:\n),\nCory McCartan [ctb] (ORCID: )","Maintainer":"Christopher T. Kenny ","Repository":"CRAN","Date/Publication":"2025-12-11 23:20:13 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/geomander_2.5.2.tar.gz","jsonAuthors":[{"name":"Christopher T. Kenny","email":"ctkenny@proton.me","maintainer":true},{"name":"Cory McCartan","email":"mccartan@psu.edu","maintainer":false}],"readme":"\n\n\n# geomander

\n\n\n\n[![R-CMD-check](https://github.com/christopherkenny/geomander/workflows/R-CMD-check/badge.svg)](https://github.com/christopherkenny/geomander/actions)\n[![CRAN\nstatus](https://www.r-pkg.org/badges/version/geomander)](https://CRAN.R-project.org/package=geomander)\n![CRAN\ndownloads](http://cranlogs.r-pkg.org/badges/grand-total/geomander)\n[![geomander status\nbadge](https://christopherkenny.r-universe.dev/badges/geomander)](https://christopherkenny.r-universe.dev/geomander)\n\n\nFocuses on creating data sets and other tools that help make\nunderstanding gerrymandering faster and easier. Designed for easy\npreparation to run simulation analysis with the R package redist, but is\naimed at the geographic aspects of redistricting, not partitioning\nmethods. Most of these tools are gathered from seminar papers and do not\ncorrespond to a single publication.\n\n## Installation\n\nYou can install the released version of geomander from\n[CRAN](https://CRAN.R-project.org) with:\n\n``` r\ninstall.packages(\"geomander\")\n```\n\nAnd the development version from [GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"christopherkenny/geomander\")\n```\n\n## Examples\n\nA very common task is aggregating block data to precincts.\n\n``` r\nlibrary(geomander)\nlibrary(tidyverse)\n#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──\n#> ✔ dplyr 1.1.4 ✔ readr 2.1.4\n#> ✔ forcats 1.0.0 ✔ stringr 1.5.1\n#> ✔ ggplot2 3.4.4 ✔ tibble 3.2.1\n#> ✔ lubridate 1.9.3 ✔ tidyr 1.3.0\n#> ✔ purrr 1.0.2 \n#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n#> ✖ dplyr::filter() masks stats::filter()\n#> ✖ dplyr::lag() masks stats::lag()\n#> ℹ Use the conflicted package () to force all conflicts to become errors\n \n# load precincts\ndata('va18sub')\n\n# create block data\nblock <- create_block_table(state = 'VA', county = '087') \n\n# match the geographies\nmatches <- geo_match(from = block, to = va18sub)\n\n# Aggregate\nprec <- block2prec(block_table = block, matches = matches)\n```\n\nOther important tasks include breaking data into pieces by blocks\nunderlying them.\n\n``` r\nlibrary(geomander)\nlibrary(tidyverse)\n \n# load precincts\ndata(\"va18sub\")\n\n# subset to target area\nva18sub <- va18sub |> filter(COUNTYFP == '087')\n```\n\nThen we can get common block data:\n\n``` r\nblock <- create_block_table(state = 'VA', county = '087') \n```\n\nAnd estimate down to blocks\n\n``` r\ndisagg <- geo_estimate_down(from = va18sub, to = block, wts = block$vap, value = va18sub$G18USSRSTE)\n```\n\nFor more information, see the documentation and vignettes, available at\n","jobInfo":{"package":"geomander","version":"2.5.2","parsingStatus":"success","parserVersion":2,"parsedAt":"2025-12-12T00:30:11+0000"}}

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