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) .


Reference manual

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1.1-28 by Babak Naimi, 2 years ago


Report a bug at https://github.com/babaknaimi/elsa/issues/

Browse source code at https://github.com/cran/elsa

Authors: Babak Naimi [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)

Documentation:   PDF Manual  

GPL (>= 3) license

Depends on methods, sp, raster

Suggests knitr, rmarkdown

See at CRAN