esquisse
lidR
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esquisse | lidR | |
---|---|---|
4 | 5 | |
1,739 | 557 | |
1.2% | 3.9% | |
7.2 | 7.7 | |
7 days ago | 24 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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esquisse
- esquisse: RStudio add-in to make plots interactively with ggplot2 {R}
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New to ggplot2 - How do I change the color of some frequency plots so that the colors are distinct and do not get overpowered by the background? I changed the theme to dark because the yellow plot was nearly invisible on white/ gray. [code block in comments]
You should post your code so people can specifically see what you are doing, but in general you can do a color option in geom_line. If you don't use ggplot frequently then I'd recommend checking out the esquisse plugin at: https://github.com/dreamRs/esquisse This allows you to use a gui to set your ggplot options.
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Examples of R packages which include a Shiny app?
esquisse is an RStudio Addin that is a package and also a shiny app.
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[R] Front-end for ggplot within RStudio?
The link if you're curious: https://github.com/dreamRs/esquisse
lidR
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DSM Los Angeles
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.
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[HELP] Converting LAZ to LAS so I can generate a DEM in ArcMap.
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 - itβs simple and only a few grand. But nothing beats free!
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New to GIS
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.
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lidR voxel_metrics : total number of points per x-y voxel/rectangle summed along axis z?
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
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LiDAR derived DSM - power line "artefact"
It's my first time working with LiDAR data. I am using the R package lidR.
What are some alternatives?
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shinyalert - π―οΈ Easily create pretty popup messages (modals) in Shiny
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ggExtra - π Add marginal histograms to ggplot2, and more ggplot2 enhancements
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shinydisconnect - π Show a nice message when a Shiny app disconnects or errors
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aRtsy - aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.