SpatEntropy

The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy (Shannon, 1948 doi:10.1002/j.1538-7305.1948.tb01338.x), Batty's spatial entropy (Batty, 1974 doi:10.1111/j.1538-4632.1974.tb01014.x), O'Neill's entropy (O'Neill et al., 1998 doi:10.1007/BF00162741), Li and Reynolds' contagion index (Li and Reynolds, 1993 doi:10.1007/BF00125347), Karlstrom and Ceccato's entropy (Karlstrom and Ceccato, 2002 https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-61351), Leibovici's entropy (Leibovici, 2009 doi:10.1007/978-3-642-03832-7_24), Parresol and Edwards' entropy (Parresol and Edwards, 2014 doi:10.3390/e16041842) and Altieri's entropy (Altieri et al., 2018, doi:10.1007/s10651-017-0383-1). Full references for all measures can be found under the topic 'SpatEntropy'. The package is able to work with lattice and point data. The updated version works with the updated 'spatstat' package (>= 3.0-2).

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