# knnidw

From lidR v2.0.0
by Jean-Romain Roussel

##### Spatial Interpolation Algorithm

This function is made to be used in grid_terrain or lasnormalize. 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)`

##### Arguments

- k
numeric. Number of k-nearest neighbours. Default 10.

- p
numeric. Power for inverse-distance weighting. Default 2.

##### See Also

##### Examples

```
# NOT RUN {
LASfile <- system.file("extdata", "Topography.laz", package="lidR")
las = readLAS(LASfile)
# plot(las)
dtm = grid_terrain(las, algorithm = tin())
plot(dtm, col = terrain.colors(50))
plot_dtm3d(dtm)
# }
```

*Documentation reproduced from package lidR, version 2.0.0, License: GPL-3*

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