logRSFinterp: Evaluate the log-RSF based on interpolated covariates (used...

In papayoun/Rhabit: Estimation of animal habitat selection using the Langevin movement model

Evaluate the log-RSF based on interpolated covariates (used in simMALA)

Description

Evaluate the log-RSF based on interpolated covariates (used in simMALA)

Usage

logRSFinterp(locs, beta, cov_list)

Arguments

locs	Matrix of locations where the log-RSF should be evaluated
beta	Vector of resource selection coefficients
cov_list	List of J (number of covariates) "raster like" elements. A raster like element is a 3 elements list with named elements 1) "x" a vector of increasing x locations (at which the covariate is sampled) 2) "y" a vector of increasing y locations (at which the covariate is sampled) 3) "z" a size(x)*size(y) matrix giving covariate values at location (x, y)

papayoun/Rhabit documentation built on July 19, 2023, 8:04 p.m.