Function reference • lasR

All functions

add_extrabytes(): Add attributes to a LAS file

add_rgb(): Add RGB attributes to a LAS file

callback(): Call a user-defined function on the point cloud

chm(): Canopy Height Model

classify_isolated_points(): Classify isolated points

delete_points(): Filter and delete points

processor() reader() reader_coverage() reader_circles() reader_rectangles(): Deprecated

dtm(): Digital Terrain Model

exec(): Process the pipeline

keep_class() drop_class() keep_first() drop_first() keep_ground() drop_ground() keep_noise() drop_noise() keep_z_above() drop_z_above() keep_z_below() drop_z_below() drop_duplicates() filter_usage() print(<laslibfilter>) `+`(<laslibfilter>): Point filters

geometry_features(): Compute pointwise geometry features

hulls(): Contour of a point cloud

lasR lasR-package: lasR: airborne LiDAR for forestry applications

load_raster(): Load a raster for later use

local_maximum() local_maximum_raster(): Local Maximum

set_parallel_strategy() unset_parallel_strategy() get_parallel_strategy() ncores() half_cores() sequential() concurrent_files() concurrent_points() nested() has_omp_support(): Parallel processing tools

normalize(): Normalize the point cloud

pit_fill(): Pits and spikes filling

rasterize(): Rasterize a point cloud

reader_las() reader_las_coverage() reader_las_circles() reader_las_rectangles(): Initialize the pipeline

region_growing(): Region growing

sampling_voxel() sampling_pixel(): Sample the point cloud keeping one random point per units

set_crs(): Set the CRS of the pipeline

set_exec_options() unset_exec_option(): Set global processing options

summarise(): Summary

temptif() tempgpkg() tempshp() templas() templaz(): Temporary files

print(<LASRalgorithm>) print(<LASRpipeline>) `+`(<LASRpipeline>) c(<LASRpipeline>): Tools inherited from base R

transform_with(): Transform a point cloud using another stage

triangulate(): Delaunay triangulation

write_las(): Write LAS or LAZ files

write_vpc(): Write a Virtual Point Cloud