Irescale: Calculate and Scale 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. Researchers calculate Moran's I to express the spatial autocorrelation of their data. 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(2009) <arXiv:1606.03658>.

Version: 0.1.4
Depends: graphics, Rdpack, sp, e1071
Imports: testthat, rgeos
Suggests: knitr, rmarkdown
Published: 2019-04-12
Author: Ivan Fuentes, Thomas DeWitt
Maintainer: Ivan Fuentes <jivfur at tamu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.tamu.edu/jivfur/Irescale
NeedsCompilation: no
Materials: README
CRAN checks: Irescale results

Downloads:

Reference manual: Irescale.pdf
Vignettes: Moran's I rescaling
Package source: Irescale_0.1.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X binaries: r-release: not available, r-oldrel: not available

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