lidR: knnidw – R documentation

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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.

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)

lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

v3.1.2

GPL-3

Authors

Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())

Initial release

2021-03-11