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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Irescale to link to this page.
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