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samc (version 2.0.1)

Spatial Absorbing Markov Chains

Description

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) , 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.

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Version

Install

install.packages('samc')

Monthly Downloads

616

Version

2.0.1

License

GPL (>= 3)

Maintainer

Andrew Marx

Last Published

June 11th, 2022

Functions in samc (2.0.1)

location-class

location class
locate

Get cell numbers
dispersal

Calculate dispersal metrics
ex_res_data

Example resistance data
distribution

Calculate distribution metrics
cond_passage

Conditional Mean First Passage Time
absorption

Calculate absorption metrics
check

Check landscape data
ex_abs_data

Example absorption data
ex_occ_data

Example occupancy data
survival

Calculate survival metrics
samc-class-modify

Modify samc-class components
samc-class

samc class
map

Map vector data
mortality

Calculate mortality metrics
samc_data-class

data class
samc

Create an samc object
visitation

Calculate visitation metrics
samc-class-access

Access samc-class components
pairwise

Pairwise analyses