bespatial: Boltzmann Entropy for Spatial Data

Calculates several entropy metrics for spatial data inspired by Boltzmann's entropy formula. It includes metrics introduced by Cushman for landscape mosaics (Cushman (2015) <doi:10.1007/s10980-015-0305-2>), and landscape gradients and point patterns (Cushman (2021) <doi:10.3390/e23121616>); by Zhao and Zhang for landscape mosaics (Zhao and Zhang (2019) <doi:10.1007/s10980-019-00876-x>); and by Gao et al. for landscape gradients (Gao et al. (2018) <doi:10.1111/tgis.12315>; Gao and Li (2019) <doi:10.1007/s10980-019-00854-3>).

Version: 0.1.2
Depends: R (≥ 3.1)
Imports: belg, comat, Rcpp, terra (≥ 1.5-13), tibble, landscapemetrics
LinkingTo: comat (≥ 0.9.2), Rcpp, RcppArmadillo
Suggests: covr, testthat (≥ 3.0.0)
Published: 2024-06-07
DOI: 10.32614/CRAN.package.bespatial
Author: Jakub Nowosad ORCID iD [aut, cre]
Maintainer: Jakub Nowosad <nowosad.jakub at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: bespatial results


Reference manual: bespatial.pdf


Package source: bespatial_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bespatial_0.1.2.tgz, r-oldrel (arm64): bespatial_0.1.2.tgz, r-release (x86_64): bespatial_0.1.2.tgz, r-oldrel (x86_64): bespatial_0.1.2.tgz


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