Gradient of the log of the utilisation distribution

Gradient of the log of the utilisation distribution

gradLogUD(beta, loc, cov_list = NULL, grad_fun = NULL, check = T)

Arguments

beta

Vector of resource selection coefficients
loc

Point at which the gradient should be evaluated (2d vector)
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)
grad_fun

Optional list of functions taking a 2d vector and returning a two 2d vector for the gradient
check

logical check wether cov_list and grad_fun have the right format, default to TRUE

Value

Gradient of the log-UD in loc.