lidRbook | The lidR package tutorials book book | Learning library

by Jean-Romain CSS Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | lidRbook Summary

lidRbook is a CSS library typically used in Tutorial, Learning applications. lidRbook has no bugs, it has no vulnerabilities and it has low support. However lidRbook has a Non-SPDX License. You can download it from GitHub.

This online book provides tangible examples and insight for using the lidR package. Readers will find code examples, illustrations, and tutorials about ALS data processing in R with the lidR package. This book is a guide written to help both the ALS novice, as well as seasoned point-cloud processing veterans. This is not the official package documentation. The book is shared under CC-BY-NC-SA 2.0. To compile the book written with bookdown you need the following packages: lidR with main and suggested dependencies + viridis, rayshader, deldir, forcat, ggplot2, magick, bookdown, MBA. plotrix, TreeLS. The compilation takes 10-15 minutes approximately.

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Support

lidRbook has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 20 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lidRbook is current.

Quality

lidRbook has 0 bugs and 1 code smells.

Security

lidRbook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lidRbook code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lidRbook has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

lidRbook releases are not available. You will need to build from source code and install.

It has 11 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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lidRbook Key Features

No Key Features are available at this moment for lidRbook.

lidRbook Examples and Code Snippets

No Code Snippets are available at this moment for lidRbook.

Community Discussions

Trending Discussions on lidRbook

Compute eigenvalues for large point clouds as quickly as possible with R

QUESTION

Compute eigenvalues for large point clouds as quickly as possible with R

Asked 2021-May-02 at 11:41

I have large point clouds (each with several million points) and want to compute geometric attributes for all points. In order to do so, I need to calculate eigenvalues. How can I do this as quickly as possible? My data is stored in *.las files and I read them in with the package lidR. I also use this package to calculate point metrics. According to this post, I implemented this version:

...

ANSWER

Answered 2021-May-02 at 11:41

The problem of point_metrics() is that it calls user's R code millions of times and this have a cost. Moreover it cannot be safely multithreaded. The function is good for prototyping but for production you must write your own code. For example you can reproduce the function segment_shape() with point_metrics() but segment_shape() is pure C++ and multi-threaded and is often an order of magnitude faster.

Let try with ~3 millions points. The two examples are not equivalent (different output) but the computation load is almost the same (eigen value decomposition).

Source https://stackoverflow.com/questions/67347461

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lidRbook

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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