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recmap: Compute the Rectangular Statistical Cartogram

Implements the RecMap MP2 construction heuristic <doi:10.1109/INFVIS.2004.57>. This algorithm draws maps according to a given statistical value, e.g., election results, population, or epidemiological data. The basic idea of the RecMap algorithm is that each map region, e.g., different countries, is represented by a rectangle. The area of each rectangle represents the statistical value provided as input to maintain zero cartographic error. Computationally intensive tasks are implemented in C++. The included vignette documents recmap algorithm usage.

Version:1.0.20
Depends:R (≥ 4.5),GA (≥ 3.1),Rcpp (≥ 1.0),sp (≥ 1.3)
LinkingTo:Rcpp (≥ 1.0)
Suggests:doParallel,knitr,rmarkdown,shiny,testthat,tufte
Published:2025-08-19
DOI:10.32614/CRAN.package.recmap
Author:Christian PanseORCID iD [aut, cre]
Maintainer:Christian Panse <Christian.Panse at gmail.com>
BugReports:https://github.com/cpanse/recmap/issues
License:GPL-3
NeedsCompilation:yes
Citation:recmap citation info
Materials:NEWS
In views:Spatial
CRAN checks:recmap results

Documentation:

Reference manual:recmap.html ,recmap.pdf
Vignettes:Draw your own Rectangular Statistical Cartogram with recmap (source,R code)

Downloads:

Package source: recmap_1.0.20.tar.gz
Windows binaries: r-devel:recmap_1.0.20.zip, r-release:recmap_1.0.20.zip, r-oldrel:recmap_1.0.17.zip
macOS binaries: r-release (arm64):recmap_1.0.20.tgz, r-oldrel (arm64):recmap_1.0.17.tgz, r-release (x86_64):recmap_1.0.20.tgz, r-oldrel (x86_64):recmap_1.0.17.tgz
Old sources: recmap archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=recmapto link to this page.


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