# pred_grid

##### Generates a 2D Prediction Grid

This function facilitates the generation of a 2D prediction grid for geostatistical kriging.

- Keywords
- spatial

##### Usage

```
pred_grid(coords, y.coords = NULL, …, y.by = NULL,
y.length.out = NULL, y.along.with = NULL)
```

##### Arguments

- coords
a list, matrix or data-frame with xy-coordinates of prediction points or a vector with x-coordinates.

- y.coords
a vector with y-coordinates. Needed if argument

`coords`

provides only x-coordinates.- …
arguments

`by`

or`length.out`

to be passed to the function`rep`

. These arguments are used for the x-coordinates and are default optioons for y-coordinates.- y.by
Optional.

`by`

argument for`rep`

to be used with the y-coordinates.- y.length.out
Optional.

`length.out`

argument for`rep`

to be used with the y-coordinates.- y.along.with
Optional.

`along.with`

argument for`rep`

to be used with the y-coordinates.

##### Value

An two column data-frame which is on output of `expand.grid`

.

##### See Also

See `seq`

and `expand.grid`

which are
used internally and `locations.inside`

and
`polygrid`

to select points inside a border.

##### Examples

```
# NOT RUN {
pred_grid(c(0,1), c(0,1), by=0.25) ## create a grid in a unit square
loc0 <- pred_grid(ca20$borders, by=20)
points(ca20)
points(loc0, pch="+")
points(locations.inside(loc0, ca20$border), pch="+", col=2)
# }
```

*Documentation reproduced from package geoR, version 1.8-1, License: GPL (>= 2)*