R: Spatial Interpolation Algorithm

knnidw {lidR} | R Documentation

## Spatial Interpolation Algorithm

### Description

This function is made to be used in grid_terrain or normalize_height. It implements an algorithm for spatial interpolation. Interpolation is done using a k-nearest neighbour (KNN) approach with an inverse-distance weighting (IDW).

### Usage

    knnidw(k = 10, p = 2, rmax = 50)

### Arguments

`k` | integer. Number of k-nearest neighbours. Default 10.
`p` | numeric. Power for inverse-distance weighting. Default 2.
`rmax` | numeric. Maximum radius where to search for knn. Default 50.

### See Also

Other spatial interpolation algorithms: `kriging()`, `tin()`

### Examples

    LASfile <- system.file("extdata", "Topography.laz", package="lidR")
    las = readLAS(LASfile)

    #plot(las)

    dtm = grid_terrain(las, algorithm = knnidw(k = 6L, p = 2))

    #plot(dtm, col = terrain.colors(50))
    #plot_dtm3d(dtm)

[Package lidR version 3.2.2 Index]