Package: recmap 1.0.17

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.

Authors:Christian Panse [aut, cre]

recmap_1.0.17.tar.gz
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recmap.pdf |recmap.html
recmap/json (API)
NEWS

# Install 'recmap' in R:
install.packages('recmap', repos = c('https://cpanse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cpanse/recmap/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

cartogramdemographicsgenetic-algorithmgeovisualizationgraph-drawingspatialspatial-data-analysisvalue-by-area-mapscpp

5.51 score 21 stars 31 scripts 430 downloads 14 exports 10 dependencies

Last updated 1 months agofrom:92cfe7d254. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-win-x86_64NOTEFeb 12 2025
R-4.5-mac-x86_64NOTEFeb 12 2025
R-4.5-mac-aarch64NOTEFeb 12 2025
R-4.5-linux-x86_64NOTEFeb 12 2025
R-4.4-win-x86_64NOTEFeb 12 2025
R-4.4-mac-x86_64NOTEFeb 12 2025
R-4.4-mac-aarch64NOTEFeb 12 2025
R-4.3-win-x86_64NOTEFeb 12 2025
R-4.3-mac-x86_64NOTEFeb 12 2025
R-4.3-mac-aarch64NOTEFeb 12 2025

Exports:.get_7trianglesall.equal.recmapas.recmapas.SpatialPolygonsDataFramecheckerboardis.recmapplot.recmapplot.recmapGAplot.recmapGRASPrecmaprecmapGArecmapGRASPsummary.recmapsummary.recmapGA

Dependencies:clicodetoolscrayonforeachGAiteratorslatticeRcppRcppArmadillosp

Draw your own Rectangular Statistical Cartogram with recmap

Rendered fromrecmap.Rmdusingknitr::rmarkdownon Feb 12 2025.

Last update: 2023-09-21
Started: 2016-04-16