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Irescale  

Calculate and Rectify Moran's I
View on CRAN: Click here


Download and install Irescale package within the R console
Install from CRAN:
install.packages("Irescale")

Install from Github:
library("remotes")
install_github("cran/Irescale")

Install by package version:
library("remotes")
install_version("Irescale", "2.3.0")



Attach the package and use:
library("Irescale")
Maintained by
Ivan Fuentes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-12
Latest Update: 2019-11-21
Description:
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) .
How to cite:
Ivan Fuentes (2019). Irescale: Calculate and Rectify Moran's I. R package version 2.3.0, https://cran.r-project.org/web/packages/Irescale. Accessed 06 Jan. 2025.
Previous versions and publish date:
0.1.4 (2019-04-12 09:53), 0.2.6 (2019-04-15 23:22)
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