Other packages > Find by keyword >

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 Mar. 2026.
Previous versions and publish date:
0.1.4 (2019-04-12 09:53), 0.2.6 (2019-04-15 23:22)
Other packages that cited Irescale R package
View Irescale citation profile
Other R packages that Irescale depends, imports, suggests or enhances
Complete documentation for Irescale
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA