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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, r-oldrel (x86_64): spatialising_0.6.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spatialising to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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