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inst/doc/README.md
In cartogramR: Continuous Cartogram
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)
r
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:
r
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
Try the cartogramR package in your browser
Any scripts or data that you put into this service are public.
cartogramR documentation built on Oct. 18, 2022, 5:08 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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)
r
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:
r
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
Try the cartogramR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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