lidR VS whiteboxR

Compare lidR vs whiteboxR and see what are their differences.

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lidR whiteboxR
5 1
557 166
3.9% 0.0%
7.7 7.3
23 days ago 3 months ago
R R
GNU General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lidR

Posts with mentions or reviews of lidR. We have used some of these posts to build our list of alternatives and similar projects.
  • DSM Los Angeles
    1 project | /r/gis | 16 Feb 2022
    Hey all :) I am currently computing a DSM for Los Angeles (~10600 km²) based on the 2015 - 2016 LARIAC Lidar data (it's part of NOAA). So far they provide the raw LiDAR data, a DEM at 3ft resolution and building heights polygons based on their LiDAR data. However, since I need a DSM for a hobby project, I am currently computing one with the lidR R package. It's at 3 ft resolution to match it with the DEM. I am definitely no pro at this kind of work but from a first glance the results look good.
  • [HELP] Converting LAZ to LAS so I can generate a DEM in ArcMap.
    1 project | /r/gis | 21 Aug 2021
    If you use R, there are many tools for not only converting point cloud types, but also creating DEM/DSM, feature detection, and more. Check out the lidR package! LasTools also does this (and does it VERY well) but the unrestricted tools that preserve the data quality cost $$. I actually do like the way they set up LasTools pricing though - it’s simple and only a few grand. But nothing beats free!
  • New to GIS
    1 project | /r/gis | 7 Aug 2021
    People here are going to focus on Python, but I cannot recommend using the R programming language as a GIS enough. There is an amazing library for working with lidar data called lidR that I think would be worthwhile. Also, the r4ds book is another great starting point for learning R for data analysis and general programming.
  • lidR voxel_metrics : total number of points per x-y voxel/rectangle summed along axis z?
    1 project | /r/gis | 12 May 2021
    And this seemed promising, but I didn't understand how `~length(Z)` behaves. Based on the example https://github.com/Jean-Romain/lidR/blob/4612963e6f73ead5840715434f55eaa46ec5ce24/R/voxel_metrics.R#L67
  • LiDAR derived DSM - power line "artefact"
    1 project | /r/remotesensing | 4 Mar 2021
    It's my first time working with LiDAR data. I am using the R package lidR.

whiteboxR

Posts with mentions or reviews of whiteboxR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing lidR and whiteboxR you can also consider the following projects:

esquisse - RStudio add-in to make plots interactively with ggplot2

shiny.fluent - Microsoft's Fluent UI for Shiny apps

rmarkdown - Dynamic Documents for R

darkstudio - darkstudio. A dark grey alternative to RStudio's default dark theme.

ggplot2 - An implementation of the Grammar of Graphics in R

whitebox - WhiteboxTools Python Frontend [Moved to: https://github.com/giswqs/whitebox-python]

taskscheduleR - Schedule R scripts/processes with the Windows task scheduler.

biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

scribblr - A Notepad Inside RStudio

gptstudio - GPT RStudio addins that enable GPT assisted coding, writing & analysis

hex-stickers - RStudio hex stickers