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bespatial  

Boltzmann Entropy for Spatial Data
View on CRAN: Click here


Download and install bespatial package within the R console
Install from CRAN:
install.packages("bespatial")

Install from Github:
library("remotes")
install_github("cran/bespatial")

Install by package version:
library("remotes")
install_version("bespatial", "0.1.3")



Attach the package and use:
library("bespatial")
Maintained by
Jakub Nowosad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-07
Latest Update: 2025-04-02
Description:
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>).
How to cite:
Jakub Nowosad (2024). bespatial: Boltzmann Entropy for Spatial Data. R package version 0.1.3, https://cran.r-project.org/web/packages/bespatial. Accessed 08 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.1.2 (2024-06-07 17:00)
Other packages that cited bespatial R package
View bespatial citation profile
Other R packages that bespatial depends, imports, suggests or enhances
Complete documentation for bespatial
Functions, R codes and Examples using the bespatial R package
Full bespatial package functions and examples
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