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elsa

Entropy-Based Local Indicator of Spatial Association

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) <doi:10.1016/j.spasta.2018.10.001>.

Functions (13)

Entrogram-class

An S4 class for Entrogram

autocor

Global Spatial Autocorrelation Statistics

categorize

Categorizing continious data

correlogram

Correlogram of Spatial Data

diff2list

Convert differences in the level of categorical map to a list

dneigh

Construct neighbours list

elsa

Entropy-based Local indicator of Spatial Association

elsa.test

Elsa test for local spatial autocorrelation

entrogram

Entrogram for Spatial Data

lisa

Local indicators of Spatial Associations

nclass

Best number of classes for categorizing a continuous variable

neighbours-class

An S4 class of neighbour features

variogram

Empirical Variogram from Spatial Data

elsa

Entropy-Based Local Indicator of Spatial Association

v1.1-28

GPL (>= 3)

Authors

Babak Naimi [cre, aut] (<https://orcid.org/0000-0001-5431-2729>), Roger Bivand [ctb] (part of the dnn C code, from the spdep package), William Venables [ctb] (part of the dnn C code, taken from the spdep package), Brian Ripley [ctb] (part of the dnn C code, taken from the spdep package)

Initial release

2020-03-13

elsa

Functions (13)

elsa

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