lidR VS esquisse

Compare lidR vs esquisse and see what are their differences.

lidR

Airborne LiDAR data manipulation and visualisation for forestry application (by r-lidar)
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lidR esquisse
5 4
557 1,739
3.9% 1.2%
7.7 7.2
23 days ago 6 days 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 kmΒ²) 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.

esquisse

Posts with mentions or reviews of esquisse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-20.

What are some alternatives?

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

rmarkdown - Dynamic Documents for R

ggshakeR - An analysis and visualization R package that works with publicly available soccer data

ggplot2 - An implementation of the Grammar of Graphics in R

gganimate - A Grammar of Animated Graphics

ggvenn - Venn Diagram by ggplot2, with really easy-to-use API.

shinyalert - πŸ—―οΈ Easily create pretty popup messages (modals) in Shiny

ggsci - πŸ¦„ Scientific journal and sci-fi themed color palettes for ggplot2

ggExtra - πŸ“Š Add marginal histograms to ggplot2, and more ggplot2 enhancements

timevis - πŸ“… Create interactive timeline visualizations in R

shinydisconnect - πŸ”Œ Show a nice message when a Shiny app disconnects or errors

shinyscreenshot - πŸ“· Capture screenshots of entire pages or parts of pages in Shiny apps

aRtsy - aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.