getmov2: Optimization function to find a movement model that matches...

In Blue-Matter/MSEtool: Management Strategy Evaluation Toolkit

Optimization function to find a movement model that matches user specified movement characteristics modified for Rcpp.

Description

The user specifies the probability of staying in the same area and spatial heterogeneity (both in the unfished state).

Usage

getmov2(x, Prob_staying, Frac_area_1)

Arguments

x	A position in vectors Prob_staying and Frac_area_1
Prob_staying	User specified probability that individuals in area 1 remain in that area (unfished conditions)
Frac_area_1	User specified fraction of individuals found in area 1 (unfished conditions)

Details

This is paired with movfit to find the correct movement model.

Value

A markov movement matrix

Author(s)

T. Carruthers

Examples

Prob_staying<-0.8 # probability  that individuals remain in area 1 between time-steps
Frac_area_1<-0.35 # the fraction of the stock found in area 1 under equilibrium conditions
markovmat<-getmov2(1,Prob_staying, Frac_area_1)
vec<-c(0.5,0.5) # initial guess at equilibrium distribution (2 areas)
for(i in 1:300)vec<-apply(vec*markovmat,2,sum) # numerical approximation to stable distribution
c(markovmat[1,1],vec[1]) # pretty close right?

Blue-Matter/MSEtool documentation built on April 25, 2024, 12:30 p.m.