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Description

Continuous Cartogram.

Procedures for making continuous cartogram. Procedures available are: flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>), fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>), rubber band based cartogram (Dougenik et al. (1985) <doi:10.1111/j.0033-0124.1985.00075.x>).

Installation

Install cartogramR from CRAN with:

install.packages("cartogramR")

For windows users, the CRAN distributes a compiled package and there is no need to install it from source. If you install package from sources, you will need FFTW. This library is fairly common thus a package for it is usually available (linux: see fftw-devel (rpm), fftw-dev (deb); Mac OS X: fftw (brew)).

Usage

For example cartogram for the number of electors in the USA in 1964:

  1. Load package, data and verify that at least one grid point fall in each region (the smallest region is Washington DC)

    library(cartogramR)
    data(usa)
    plot(precartogramR(usa))
    
  2. The default grid size $L=512$ is OK, thus we can run the cartogram for variable electors64 and plot the cartogram:

    carto <- cartogramR(usa, "electors64")
    plot(carto)
    

Acknowledgements

  • Many many thanks to Michael T. Gastner for his flow based cartogram programs on which cartogramR is (heavily) based
  • Timothée GIRAUD UMS 2414 RIATE / CNRS Paris, for suggestions and careful reading.
Metadata

Version

1.2-0

License

Unknown

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