lidR (version 3.0.3)

knnidw: 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

# NOT RUN {
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)
# }