Package: lasR 0.13.1
Jean-Romain Roussel
lasR: Fast and Pipeable Airborne LiDAR Data Tools
Fast and pipeable airborne lidar processing tools. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, normalization, individual tree segmentation and other manipulations in a powerful and versatile processing chain.
Authors:
lasR_0.13.1.tar.gz
lasR_0.13.1.zip(r-4.5)lasR_0.13.1.zip(r-4.4)lasR_0.13.1.zip(r-4.3)
lasR_0.13.1.tgz(r-4.4-x86_64)lasR_0.13.1.tgz(r-4.4-arm64)lasR_0.13.1.tgz(r-4.3-x86_64)lasR_0.13.1.tgz(r-4.3-arm64)
lasR_0.13.1.tar.gz(r-4.5-noble)lasR_0.13.1.tar.gz(r-4.4-noble)
lasR.pdf |lasR.html✨
lasR/json (API)
NEWS
| # Install 'lasR' in R: |
| install.packages('lasR', repos = c('https://r-lidar.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-lidar/lasr/issues
Last updated 2 hours agofrom:07f25f83d2. Checks:OK: 2 NOTE: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 21 2024 |
| R-4.5-win-x86_64 | NOTE | Dec 21 2024 |
| R-4.5-linux-x86_64 | OK | Dec 21 2024 |
| R-4.4-win-x86_64 | NOTE | Dec 21 2024 |
| R-4.4-mac-x86_64 | NOTE | Dec 21 2024 |
| R-4.4-mac-aarch64 | NOTE | Dec 21 2024 |
| R-4.3-win-x86_64 | NOTE | Dec 21 2024 |
| R-4.3-mac-x86_64 | NOTE | Dec 21 2024 |
| R-4.3-mac-aarch64 | NOTE | Dec 21 2024 |
Exports:add_extrabytesadd_rgbcallbackchmclassify_with_csfclassify_with_ivfclassify_with_sorconcurrent_filesconcurrent_pointsdelete_grounddelete_noisedelete_pointsdrop_classdrop_duplicatesdrop_firstdrop_grounddrop_noisedrop_z_abovedrop_z_belowdtmexecfilter_with_gridfocalgeometry_featuresget_parallel_strategyhaghalf_coreshas_omp_supporthullsinfoinstall_cmd_toolskeep_classkeep_firstkeep_groundkeep_ground_and_waterkeep_noisekeep_z_abovekeep_z_belowload_rasterlocal_maximumlocal_maximum_rasterncoresnestednormalizepit_fillrasterizeread_cloudreaderreader_circlesreader_coveragereader_lasreader_las_circlesreader_las_coveragereader_las_rectanglesreader_rectanglesregion_growingsampling_pixelsampling_poissonsampling_voxelsequentialset_crsset_exec_optionsset_parallel_strategysort_pointsstop_if_outsidesummarisetempgpkgtemplastemplaztempshptemptiftransform_withtriangulateunset_exec_optionunset_parallel_strategywrite_laswrite_laxwrite_vpc
Dependencies:
Why lasR?
Rendered fromwhy.Rmdusingknitr::rmarkdownon Dec 21 2024.Last update: 2024-07-04
Started: 2024-04-02
Tutorial
Rendered fromtutorial.Rmdusingknitr::rmarkdownon Dec 21 2024.Last update: 2024-12-12
Started: 2024-04-02
Benchmarks of lasR vs. lidR
Rendered frombenchmarks.Rmdusingknitr::rmarkdownon Dec 21 2024.Last update: 2024-11-17
Started: 2024-04-02
Parallel processing
Rendered frommultithreading.Rmdusingknitr::rmarkdownon Dec 21 2024.Last update: 2024-12-12
Started: 2024-04-02
R stages
Rendered fromr-stages.Rmdusingknitr::rmarkdownon Dec 21 2024.Last update: 2024-12-12
Started: 2024-06-02
Buffered Area Based Approach
Rendered frombaba.Rmdusingknitr::rmarkdownon Dec 21 2024.Last update: 2024-04-03
Started: 2024-04-02
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| lasR: airborne LiDAR for forestry applications | lasR-package lasR |
| Add attributes to a LAS file | add_extrabytes |
| Add RGB attributes to a LAS file | add_rgb |
| Call a user-defined function on the point cloud | callback |
| Canopy Height Model | chm |
| Classify ground points | classify_with_csf |
| Classify noise points | classify_with_ivf |
| Classify noise points | classify_with_sor |
| Filter and delete points | delete_ground delete_noise delete_points |
| Deprecated | deprecated reader_las reader_las_circles reader_las_coverage reader_las_rectangles |
| Digital Terrain Model | dtm |
| Process the pipeline | exec |
| Select highest or lowest points | filter_with_grid |
| Point Filters | +.laslibfilter drop_class drop_duplicates drop_first drop_ground drop_noise drop_z_above drop_z_below filters keep_class keep_first keep_ground keep_ground_and_water keep_noise keep_z_above keep_z_below print.laslibfilter |
| Calculate focal ("moving window") values for each cell of a raster | focal |
| Compute pointwise geometry features | geometry_features |
| Contour of a point cloud | hulls |
| Print Information about the Point Cloud | info |
| Use some lasR features from a terminal | install_cmd_tools |
| Load a raster for later use | load_raster |
| Local Maximum | local_maximum local_maximum_raster |
| Metric engine | metric_engine |
| Parallel processing tools | concurrent_files concurrent_points get_parallel_strategy half_cores has_omp_support multithreading ncores nested sequential set_parallel_strategy unset_parallel_strategy |
| Height Above Ground (HAG) | hag normalize |
| Pits and spikes filling | pit_fill |
| Print Method for 'lasrcloud' Objects | print.lasrcloud |
| Rasterize a point cloud | rasterize |
| Read a point cloud in memory | read_cloud |
| Initialize the pipeline | reader reader_circles reader_coverage reader_rectangles |
| Region growing | region_growing |
| Sample the point cloud | sampling_pixel sampling_poisson sampling_voxel |
| Set the CRS of the pipeline | set_crs |
| Set global processing options | set_exec_options unset_exec_option |
| Sort points in the point cloud | sort_points |
| Stop the pipeline if a conditionally | stop_if_outside |
| Summary | summarise |
| Temporary files | tempgpkg templas templaz temporary_files tempshp temptif |
| Tools inherited from base R | +.LASRpipeline c.LASRpipeline print.LASRalgorithm print.LASRpipeline tools |
| Transform a Point Cloud Using Another Stage | transform_with |
| Delaunay triangulation | triangulate |
| Write LAS or LAZ files | write_las |
| Write spatial indexing .lax files | write_lax |
| Write a Virtual Point Cloud | write_vpc |