interpCov: Interpolate 2D covariate

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

Interpolate 2D covariate

Description

At the moment, this is based on the function interp.surface from the package fields (bilinear interpolation).

Usage

interpCov(locs, x_grid, y_grid, cov_mat)

Arguments

locs	Point where the covariate should be interpolated
x_grid	Grid on which the covariate is known
y_grid	Grid on which the covariate is known
cov_mat	Matrix of values of the covariate at the points given by x_grid and y_grid.

Details

Note that covmat needs to rotated (as e.g. with "image"), so you might need to use something like covmat <- t(apply(as.matrix(covraster),2,rev)) before passing it to this function

Value

Interpolated value of the covariate at the point xy.

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