<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Compute the Rectangular Statistical Cartogram</dc:title>
  <dc:title>R package recmap version 1.0.20</dc:title>
  <dc:subject>CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial)</dc:subject>
  <dc:description>Implements the RecMap MP2 construction heuristic
  &lt;doi:10.1109/INFVIS.2004.57&gt;.
  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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.5), GA (&gt;= 3.1), Rcpp (&gt;= 1.0), sp(&gt;= 1.3)</dc:relation>
  <dc:relation>LinkingTo: Rcpp (&gt;= 1.0)</dc:relation>
  <dc:relation>Suggests: doParallel, knitr, rmarkdown, shiny, testthat, tufte</dc:relation>
  <dc:creator>Christian Panse &lt;Christian.Panse@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Christian Panse [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-1975-3064&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-08-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=recmap</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.recmap</dc:identifier>
</oai_dc:dc>
