# vgmArea: point-point, point-area or area-area semivariance In gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

## Description

Compute point-point, point-area or area-area variogram values from point model

## Usage

 `1` ```vgmArea(x, y = x, vgm, ndiscr = 16, verbose = FALSE, covariance = TRUE) ```

## Arguments

 `x` object of class SpatialPoints or SpatialPolygons `y` object of class SpatialPoints or SpatialPolygons `vgm` variogram model, see vgm `ndiscr` number of points to discretize an area, using spsample `verbose` give progress bar `covariance` logical; compute covariances, rather than semivariances?

## Value

semivariance or covariance matrix of dimension `length(x)` x `lenght(y)`

Edzer Pebesma

## Examples

 ```1 2 3 4``` ```library(sp) demo(meuse, ask = FALSE, echo = FALSE) vgmArea(meuse[1:5,], vgm = vgm(1, "Exp", 1000)) # point-point vgmArea(meuse[1:5,], meuse.area, vgm = vgm(1, "Exp", 1000)) # point-area ```

### Example output

```          [,1]      [,2]      [,3]      [,4]      [,5]
[1,] 1.0000000 0.9316129 0.8879422 0.7716384 0.6932850
[2,] 0.9316129 1.0000000 0.8679977 0.7536317 0.6958367
[3,] 0.8879422 0.8679977 1.0000000 0.8666057 0.7780038
[4,] 0.7716384 0.7536317 0.8666057 1.0000000 0.8570468
[5,] 0.6932850 0.6958367 0.7780038 0.8570468 1.0000000
[,1]
[1,] 0.1565761
[2,] 0.1646099
[3,] 0.1648786
[4,] 0.1672019
[5,] 0.1867704
```

gstat documentation built on March 19, 2021, 9:06 a.m.