# Calc_Anisotropic_Mesh: Calculates mesh and generates elements for anisotropic random... In James-Thorson/spatial_condition_factor: Package for estimating spatial and spatiotemporal variation in individual condition.

## Usage

 `1` ```Calc_Anisotropic_Mesh(loc_x) ```

## Arguments

 `loc_x`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25``` ```##---- Should be DIRECTLY executable !! ---- ##-- ==> Define data, use random, ##-- or do help(data=index) for the standard data sets. ## The function is currently defined as function (loc_x) { mesh = inla.mesh.create(loc_x, plot.delay = NULL, refine = FALSE) spde = inla.spde2.matern(mesh, alpha = 2) Dset = 1:2 TV = mesh\$graph\$tv V0 = mesh\$loc[TV[, 1], Dset] V1 = mesh\$loc[TV[, 2], Dset] V2 = mesh\$loc[TV[, 3], Dset] E0 = V2 - V1 E1 = V0 - V2 E2 = V1 - V0 TmpFn = function(Vec1, Vec2) abs(det(rbind(Vec1, Vec2))) Tri_Area = rep(NA, nrow(E0)) for (i in 1:length(Tri_Area)) Tri_Area[i] = TmpFn(E0[i, ], E1[i, ])/2 Return = list(Tri_Area = Tri_Area, TV = TV, E0 = E0, E1 = E1, E2 = E2, mesh = mesh, spde = spde) return(Return) } ```

James-Thorson/spatial_condition_factor documentation built on May 7, 2019, 10:20 a.m.