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>.
Package details 


Author  Ivan Fuentes, Thomas DeWitt, Thomas Ioerger, Michael Bishop 
Maintainer  Ivan Fuentes <jivfur@tamu.edu> 
License  GPL (>= 2) 
Version  2.3.0 
URL  https://github.tamu.edu/jivfur/rectifiedI 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.