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>.

Version: 1.1-28
Depends: methods, sp (≥ 1.2-0), raster, R (≥ 3.0.0)
Suggests: knitr, rmarkdown
Published: 2020-03-19
Author: Babak Naimi ORCID iD [cre, aut], 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)
Maintainer: Babak Naimi <naimi.b at gmail.com>
BugReports: https://github.com/babaknaimi/elsa/issues/
License: GPL (≥ 3)
URL: http://r-gis.net
NeedsCompilation: yes
Citation: elsa citation info
CRAN checks: elsa results

Downloads:

Reference manual: elsa.pdf
Vignettes: elsa
Package source: elsa_1.1-28.tar.gz
Windows binaries: r-devel: elsa_1.1-28.zip, r-devel-gcc8: elsa_1.1-28.zip, r-release: elsa_1.1-28.zip, r-oldrel: elsa_1.1-28.zip
OS X binaries: r-release: elsa_1.1-28.tgz, r-oldrel: elsa_1.1-28.tgz

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