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) . 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.


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Reference manual

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install.packages("samc")

1.0.3 by Andrew Marx, 3 months ago


https://andrewmarx.github.io/samc


Report a bug at https://github.com/andrewmarx/samc/issues


Browse source code at https://github.com/cran/samc


Authors: Andrew Marx [aut, cre, cph] , Robert Fletcher [ctb] , Miguel Acevedo [ctb] , Jorge Sefair [ctb] , Chao Wang [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports methods, gdistance, Matrix, raster

Suggests knitr, rmarkdown, testthat, ggplot2, png, viridis, gifski, gganimate

Linking to Rcpp, RcppEigen


See at CRAN