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samc (version 3.3.0)

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

3.3.0

License

AGPL (>= 3)

Maintainer

Andrew Marx

Last Published

July 11th, 2024

Functions in samc (3.3.0)

locate

Get cell numbers
map

Map vector data
mat_null-class

samc mat_null class
pairwise

Pairwise analyses
rasterize

Rasterize input
location-class

location class
samc-class

samc class
samc-class-modify

Modify samc-class components
samc-class-access

Access samc-class components
mortality

Calculate mortality metrics
visitation

Calculate visitation metrics
visitation_net

Calculate net visitation
samc_data-class

data class
samc

Create an samc object
survival

Calculate survival metrics
example_toy_res

Toy resistance data
dispersal

Calculate dispersal metrics
check

Check landscape data
absorption

Calculate absorption metrics
cond_passage

Conditional Mean First Passage Time
distribution

Calculate distribution metrics
example_split_corridor

Simple split corridor example
example_maze

Simple maze example
char_null-class

samc char_null class