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elsa (version 1.1-28)

Entropy-Based Local Indicator of Spatial Association

Description

A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. In addition, this package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram. For more information, please check that paper: Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G., & Alibakhshi, S. (2019) .

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Version

Install

install.packages('elsa')

Monthly Downloads

160

Version

1.1-28

License

GPL (>= 3)

Maintainer

Last Published

March 19th, 2020

Functions in elsa (1.1-28)

nclass

Best number of classes for categorizing a continuous variable
neighbours-class

An S4 class of neighbour features
dneigh

Construct neighbours list
Variogram

Empirical Variogram from Spatial Data
elsa.test

Elsa test for local spatial autocorrelation
Entrogram-class

An S4 class for Entrogram
elsa

Entropy-based Local indicator of Spatial Association
entrogram

Entrogram for Spatial Data
lisa

Local indicators of Spatial Associations
categorize

Categorizing continious data
correlogram

Correlogram of Spatial Data
moran

Global Spatial Autocorrelation Statistics
dif2list

Convert differences in the level of categorical map to a list