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Irescale: Calculate and Rectify Moran's I

Provides a scaling method to obtain a standardized Moran's I measure. Moran's I is a measure for the spatial autocorrelation of a data set, it gives a measure of similarity between data and its surrounding. The range of this value must be [-1,1], but this does not happen in practice. This package scale the Moran's I value and map it into the theoretical range of [-1,1]. Once the Moran's I value is rescaled, it facilitates the comparison between projects, for instance, a researcher can calculate Moran's I in a city in China, with a sample size of n1 and area of interest a1. Another researcher runs a similar experiment in a city in Mexico with different sample size, n2, and an area of interest a2. Due to the differences between the conditions, it is not possible to compare Moran's I in a straightforward way. In this version of the package, the spatial autocorrelation Moran's I is calculated as proposed in Chen(2013) <doi:10.48550/arXiv.1606.03658>.

Version: 2.3.0
Imports: ggplot2, sp, e1071, graphics, grDevices, stats, utils, Rdpack, fBasics, imager, reshape2
Suggests: knitr, rmarkdown
Published: 2019-11-21
DOI: 10.32614/CRAN.package.Irescale
Author: Ivan Fuentes, Thomas DeWitt, Thomas Ioerger, Michael Bishop
Maintainer: Ivan Fuentes <jivfur at tamu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.tamu.edu/jivfur/rectifiedI
NeedsCompilation: no
Materials: README
CRAN checks: Irescale results

Documentation:

Reference manual: Irescale.pdf
Vignettes: Moran's I rescaling

Downloads:

Package source: Irescale_2.3.0.tar.gz
Windows binaries: r-devel: Irescale_2.3.0.zip, r-release: Irescale_2.3.0.zip, r-oldrel: Irescale_2.3.0.zip
macOS binaries: r-release (arm64): Irescale_2.3.0.tgz, r-oldrel (arm64): Irescale_2.3.0.tgz, r-release (x86_64): Irescale_2.3.0.tgz, r-oldrel (x86_64): Irescale_2.3.0.tgz
Old sources: Irescale archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.