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.


Reference manual

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1.1.0 by Andrew Marx, 4 months ago

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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