Package index • lasR

All functions

add_extrabytes() remove_attribute(): Add attributes to a point cloud

add_rgb(): Add RGB attributes to a LAS file

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

classify_with_csf(): Classify ground points

classify_with_ivf(): Classify noise points

classify_with_sor(): Classify noise points

delete_points() delete_noise() delete_ground(): Filter and delete points

reader_las() reader_las_coverage() reader_las_circles() reader_las_rectangles(): Deprecated

dsm() chm(): Digital Surface Model

dtm(): Digital Terrain Model

edit_attribute(): Edit an attribute of the points

exec(): Process the pipeline

filter_with_grid(): Select highest or lowest points

keep_class() drop_class() keep_first() drop_first() keep_ground() keep_ground_and_water() drop_ground() keep_noise() drop_noise() keep_z_above() drop_z_above() keep_z_below() drop_z_below() keep_z_between() drop_z_between() drop_duplicates() print(<laslibfilter>) `+`(<laslibfilter>): Point Filters

focal(): Calculate focal ("moving window") values for each cell of a raster

geometry_features(): Compute pointwise geometry features

normalize() hag(): Height Above Ground (HAG)

hulls(): Contour of a point cloud

info(): Print Information about the Point Cloud

install_cmd_tools(): Use some lasR features from a terminal

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

load_matrix(): Load a matrix for later use

load_raster(): Load a raster for later use

local_maximum() local_maximum_raster(): Local Maximum

metric_engine: Metric engine

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

pit_fill(): Pits and spikes filling

print(<lasrcloud>): Print Method for 'lasrcloud' Objects

rasterize(): Rasterize a point cloud

read_cloud(): Read a point cloud in memory

reader() reader_coverage() reader_circles() reader_rectangles(): Initialize the pipeline

region_growing(): Region growing

sampling_voxel() sampling_pixel() sampling_poisson(): Sample the point cloud

set_crs(): Set the CRS of the pipeline

set_exec_options() unset_exec_option(): Set global processing options

sort_points(): Sort points in the point cloud

stop_if_outside(): Stop the pipeline conditionally

summarise(): Summary

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

print(<PipelinePtr>) `+`(<PipelinePtr>) `[[`(<PipelinePtr>): Tools inherited from base R

transform_with(): Transform a Point Cloud Using Another Stage

triangulate(): Delaunay triangulation

write_las() write_copc() write_pcd(): Write point clouds

write_lax(): Write spatial indexing .lax files

write_vpc(): Write a Virtual Point Cloud