spatialising: Ising Model for Spatial Data

Performs simulations of binary spatial raster data using the Ising model (Ising (1925) <doi:10.1007/BF02980577>; Onsager (1944) <doi:10.1103/PhysRev.65.117>). It allows to set a few parameters that represent internal and external pressures, and the number of simulations (Stepinski and Nowosad (2023) <doi:10.1098/rsos.231005>).

Version: 0.6.0
Depends: R (≥ 2.10)
Imports: comat, Rcpp, terra
LinkingTo: Rcpp
Suggests: covr, knitr, rmarkdown, optimization, testthat (≥ 3.0.0)
Published: 2023-11-27
Author: Jakub Nowosad ORCID iD [aut, cre]
Maintainer: Jakub Nowosad <nowosad.jakub at gmail.com>
BugReports: https://github.com/Nowosad/spatialising/issues
License: MIT + file LICENSE
URL: https://github.com/Nowosad/spatialising
NeedsCompilation: yes
Citation: spatialising citation info
Materials: README
CRAN checks: spatialising results

Documentation:

Reference manual: spatialising.pdf
Vignettes: Optimizing spatialising parameters

Downloads:

Package source: spatialising_0.6.0.tar.gz
Windows binaries: r-devel: spatialising_0.6.0.zip, r-release: spatialising_0.6.0.zip, r-oldrel: spatialising_0.6.0.zip
macOS binaries: r-release (arm64): spatialising_0.6.0.tgz, r-oldrel (arm64): spatialising_0.6.0.tgz, r-release (x86_64): spatialising_0.6.0.tgz

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