dtm_idw function

Spatial Interpolation Algorithm

Spatial Interpolation Algorithm

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).

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.

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)

See Also

Other dtm algorithms: dtm_kriging, dtm_tin

  • Maintainer: Jean-Romain Roussel
  • License: GPL-3
  • Last published: 2024-07-09