R: Select prediction locations inside borders

locations.inside {geoR} | R Documentation

## Select prediction locations inside borders

### Description

Selects the prediction locations located inside a polygon defining borders of a region where prediction is aimed. Typically internally called by geoR functions `krige.bayes`, `krige.conv`, `ksline`.

### Usage

    locations.inside(locations, borders, as.is = TRUE, ...)

### Arguments

`locations` | a two columns matrix or dqata frame with coordinates of the prediction locations.
`borders` | a two column matrix or data-frame with coordinates of a polygon defining the borders of the region.
`as.is` | logical defining if the returned object of of the same type (list, data-frame or matrix) as the provided in `locations`. If `FALSE` the function returns a matrix.
`...` | arguments to be passed to the internal function `.geoR_pip` and currently not used.

### Value

A two columns matrix, data-frame or a list with 2 elements with coordinates of points inside the borders.

### See Also

`over`,`coordinates`, `SpatialPoints`.

### Examples

    gr <- pred_grid(parana$borders, by=20)
    plot(gr, asp=1, pch="+")
    polygon(parana$borders)
    gr.in <- locations.inside(gr, parana$borders)
    points(gr.in, col=2, pch="+")

[Package geoR version 1.7-5.2 Index]