Spatial Absorbing Markov Chains
Calculate absorption metrics
samc char_null class
Check landscape data
Conditional Mean First Passage Time
Calculate dispersal metrics
Calculate distribution metrics
Get cell numbers
location class
Map vector data
samc mat_null class
Calculate mortality metrics
Pairwise analyses
Rasterize input
data class
Access samc-class components
Modify samc-class components
samc class
Create an samc object
Calculate survival metrics
Calculate net visitation
Calculate visitation metrics
Implements functions for working with absorbing Markov chains. The implementation is based on 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>, which applies them to spatial ecology. This framework 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. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.