dtm_idw: Spatial Interpolation Algorithm

In lidR: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

Spatial Interpolation Algorithm

Description

This function is made to be used in rasterize_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 dtm algorithms: dtm_kriging, dtm_tin

Examples

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

#plot(las)

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

#plot(dtm)
#plot_dtm3d(dtm)

lidR documentation built on Sept. 11, 2024, 5:21 p.m.