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 given as input (maintain zero cartographic error). C++ is used to implement the computationally intensive tasks. The vignette included in this package provides documentation about the usage of the recmap algorithm.

Version:	1.0.17
Depends:	R (≥ 4.3), GA (≥ 3.1), Rcpp (≥ 1.0), sp (≥ 1.3)
LinkingTo:	Rcpp (≥ 1.0)
Suggests:	doParallel, knitr, rmarkdown, shiny, testthat, tufte
Published:	2023-09-23
DOI:	10.32614/CRAN.package.recmap
Author:	Christian Panse [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.pdf
Vignettes:	Draw your own Rectangular Statistical Cartogram with recmap

Downloads:

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

Linking:

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