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- DESCRIPTION and vignette
- version bump 0.1.16
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cpanse committed Sep 17, 2023
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20 changes: 11 additions & 9 deletions DESCRIPTION
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Package: recmap
Type: Package
Title: Compute the Rectangular Statistical Cartogram
Version: 1.0.15
Version: 1.0.16
Authors@R: person("Christian", "Panse",
email = "[email protected]",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-1975-3064"))
Maintainer: Christian Panse <[email protected]>
Description: Provides an interface and a C++ implementation of the RecMap MP2
construction heuristic (Panse C. (2018) <doi:10.18637/jss.v086.c01>).
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.
Description: 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). Documentation about the usage
of the recmap algorithm is provided by a vignette included in this package.
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.
License: GPL-3
Depends: R (>= 3.6), GA (>= 3.1), Rcpp (>= 1.0), sp(>= 1.3)
Suggests: doParallel, knitr, rmarkdown, shiny, testthat, tufte
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4 changes: 3 additions & 1 deletion vignettes/recmap.Rmd
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Expand Up @@ -267,12 +267,14 @@ The `recmap` R package on CRAN provides a rectangular cartogram algorithm to be
R user. Now, it is easy to generate input (e.g., no complex polygon mesh),
the code is maintainable (less than 500 lines of `C++-11` code), and the algorithm is made robust
to the price of not having all features implemented (simplified local placement;
no *empty space error*; no MP1 variant yet).
no *empty space error*; no MP1 variant).
Recent research publications on rectangular cartogram drawing include
[@Speckmann2004], [@Speckmann2007], [@Speckmann2012], [@Buchin:2016].
However, according to a recent publication [@TheStateoftheArtInCartograms],
`recmap` remains the only rectangular cartogram algorithm that 'maintains zero
cartographic error'.
The interested reader can find more details on the package usage and its implementation
in [@2016arXiv160600464P].

# Session Info

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