pred_grid {geoR} | R Documentation

## Generates a 2D Prediction Grid

### Description

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

### 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

    pred_grid(c(0,1), c(0,1), by=0.25) ## create a grid in a unit square
    loc0 <- pred_grid(ca20$borders, by=20)
    points(ca20, borders=borders)
    points(loc0, pch="+")
    points(locations.inside(loc0, ca20$border), pch="+", col=2)

[Package geoR version 1.6-19 Index]