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. 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>.

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Description file content

Package
Irescale
Type
Package
Title
Calculate and Scale Moran's I
Version
0.2.6
Author
Ivan Fuentes, Thomas DeWitt, Thomas Ioerger, Michael Bishop
Maintainer
Ivan Fuentes
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(2009) .
License
GPL (>= 2)
URL
Encoding
UTF-8
LazyData
true
Imports
Rcpp, ggplot2, sp, e1071, graphics, grDevices, stats, utils,Rdpack
RoxygenNote
6.1.1
RdMacros
Rdpack
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-04-15 20:34:16 UTC; jivfur
Repository
CRAN
Date/Publication
2019-04-15 21:22:56 UTC

install.packages('Irescale')

0.2.6

8 days ago

https://github.tamu.edu/jivfur/Irescale

Ivan Fuentes

GPL (>= 2)

Imports

Rcpp, ggplot2, sp, e1071, graphics, grDevices, stats, utils,Rdpack

Suggests

knitr, rmarkdown

Discussions