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) <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 |
| 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:
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