Data from: samc: An R package for connectivity modeling with spatial absorbing Markov chains

Andrew Marx, Chao Wang, Jorge Sefair, Miguel Acevedo & Robert Fletcher
Quantifying landscape connectivity is fundamental to better understand and predict how populations respond to environmental change. Currently, popular methods to quantify landscape connectivity emphasize how landscape features provide resistance to movement. While many tools are available to quantify landscape resistance, these do not discern between two fundamentally different sources of resistance: movement behavior and mortality. To address this issue, we developed the samc package that quantifies landscape connectivity using absorbing Markov chain theory. Within this...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?