samc: Spatial Absorbing Markov Chains

An implementation of the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>. Incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes.

Version: 1.2.0
Depends: R (≥ 3.3.0)
Imports: methods, gdistance, Matrix, raster
LinkingTo: Rcpp (≥ 1.0.1), RcppEigen (≥ 0.3.3.5.0)
Suggests: knitr, rmarkdown, testthat, ggplot2, png, viridis, gifski, gganimate
Published: 2020-10-14
Author: Andrew Marx ORCID iD [aut, cre, cph], Robert Fletcher ORCID iD [ctb], Miguel Acevedo ORCID iD [ctb], Jorge Sefair ORCID iD [ctb], Chao Wang ORCID iD [ctb]
Maintainer: Andrew Marx <andrewjmarx at ufl.edu>
BugReports: https://github.com/andrewmarx/samc/issues
License: GPL (≥ 3)
URL: https://andrewmarx.github.io/samc
NeedsCompilation: yes
Citation: samc citation info
Materials: NEWS
CRAN checks: samc results

Downloads:

Reference manual: samc.pdf
Vignettes: Overview
Performance
Troubleshooting
Animations
Basic Tutorial
ggplot Visualization
Temporal Analysis
Package source: samc_1.2.0.tar.gz
Windows binaries: r-devel: samc_1.2.0.zip, r-release: samc_1.2.0.zip, r-oldrel: samc_1.2.0.zip
macOS binaries: r-release: samc_1.2.0.tgz, r-oldrel: samc_1.2.0.tgz
Old sources: samc archive

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