This package implements the RecMap construction algorithm (MP2) using the GA CRAN package as metaheuristic.

use CRAN

recmap requires R 3.6 or later.

Released and tested versions of recmap are available via CRAN, and can be installed using the following code

install.packages('recmap')

before running R CMD build and R CMD check or running the shiny demo execute

pkgs <- c('colorspace', 'doParallel', 'DT', 'knitr', 'maps',
  'shiny', 'testthat', 'tufte')
pkgs <- pkgs[(!pkgs %in% unique(installed.packages()[,'Package']))]
if(length(pkgs) > 0){install.packages(pkgs)}

The package ships with a package vignette (browseVignettes('recmap')) and a reference manual (just type ?recmap on the R shell). Both documents are also available on the package's CRAN page. A white paper containing more technical information and examples is available through jss.v086.c01.

Run an interactive shiny application

library(recmap)
GA::gaControl("useRcpp" = FALSE) # apple M1
recmap_shiny <- system.file('shiny-examples', package = 'recmap')
shiny::runApp(recmap_shiny, display.mode = 'normal')

Run the recmap shiny demonstration as a stand-alone application using Linux and macOS systems use the Terminal application add the following code to your alias file, e.g., $HOME/.bashrc

alias recmapShiny="R -e \"library(shiny); \
  recmap_shiny <- system.file('shiny-examples', package = 'recmap'); \
  shiny::runApp(recmap_shiny, display.mode = 'normal', launch.browser=TRUE)\""

execute

. $HOME/.bashrc && recmapShiny

Use as.SpatialPolygonsDataFrame, see also issue #13. The as.recmap function performs the transformation from a SpatialPolygonsDataFrame into a recmap compatible object.

• Rectangular Cartograms: the game, Rectangular Cartograms
• cartogram: Create Cartograms with R https://CRAN.R-project.org/package=cartogram
• Rcartogram
• High-performance software to produce flow-based cartograms.
• see also CRAN Task View: Analysis of Spatial Data
• Computing Stable Demers Cartograms - https://arxiv.org/abs/1908.07291