LiDR | Library for Distributed Retrieval | Search Engine library
kandi X-RAY | LiDR Summary
kandi X-RAY | LiDR Summary
LiDR - Library for Distributed Retrieval.
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Top functions reviewed by kandi - BETA
- The main entry point
- Runs the example
- Generates a random list of resources
- Convert a document to a Map
- This method is used to select a list of documents
- Checks whether the list of scored documents are sorted
- Sorts a list of Scored entities
- Sort the documents in descending order
- Computes and returns a list of Scored documents
- Finds the best match for the given regression
- Returns an array of the regression models
- Finds the index of the document in the source data
- Performs the normalization
- Creates a Simple Regression from a list of scored documents
- Performs the normalization operation
- Performs linearization of the document
- Normalize a list of documents
- Gets the resource scores
- Compares two Scored entities
LiDR Key Features
LiDR Examples and Code Snippets
Community Discussions
Trending Discussions on LiDR
QUESTION
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 11:41The 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).
QUESTION
Is there a way to export a *.las point cloud in R to a orthomosaic? I loaded my las-file containing the points with the package lidR. I want to export a tif which shows the point cloud from above in RGB, similar to what an orthophoto would look like. The data was collected using a terrestrial laser scanner.
...ANSWER
Answered 2021-Mar-29 at 12:29Okay, so I figured out how to do it, although it's not very elegant:
QUESTION
I have a possibility to do processing on a HPC environment, where task managing and resource allocation are controlled by SLURM batch job system. However, I have not found the right configurations how to utilize the allocated resources within R efficiently. I have tried to allocate 20 CPU's to one task in SLURM, using plan(multicore) -function of future package in R. After running test runs with different count of CPUs allocated, efficiency statistics suggested that with these settings only one of the CPU's allocated was used during the test runs.
Slurm bash script presented below
...ANSWER
Answered 2020-Nov-17 at 08:24Issue was found by HPC service provider. For unknown reason OMP_PLACES=cores variable which should tie threads/processes to specific cores, appeared to bind all processes to a single core only when running multi-core R jobs. Issue has been solved by rebuilding r-environment singularity-container.
QUESTION
Is there a way to change the projection (like st_transform from sf package) of LiDAR point cloud while remaining in R?
With lidR package you can set but not modify the point cloud projection. I know las2las from lastools could do the job (and this part is open) but I would like to keep it simple, within R and without hard copying the input/output of this process.
Any advice?
...ANSWER
Answered 2020-Sep-27 at 00:48This question has already been answered on gis.stackexchange. In short you can use spTransform on a LAS object but it is recommended to used las2las
QUESTION
Could someone point me to some R code to make programmatically nice GIF from LiDAR point clouds like the rotating one in the vignette of the LidR package (https://www.rdocumentation.org/packages/lidR/versions/3.0.3) ?
...ANSWER
Answered 2020-Sep-25 at 01:02library(lidR)
library(rgl)
LASfile <- system.file("extdata", "MixedConifer.laz", package="lidR")
las = readLAS(LASfile)
exportPath = tempfile()
plot(las, bg = "white")
movie3d(spin3d(), duration = 5, movie = exportPath)
QUESTION
I used to process a LIDAR catalog with the following code (using the LAScatalog processing engine from the great lidR package):
ANSWER
Answered 2019-Dec-02 at 14:13Since lidR 2.1.0 (July 2019) the opt_core() function has been deprecated. See the changelog.
The strategy used to process the tiles in parallel must now be explicitly declared by users. This is anyway how it should have been designed from the beginning! For users, restoring the exact former behavior implies only one change.
In versions < 2.1.0 the following was correct:
QUESTION
I am new to R. I would like to read LAS files and perform some operation and save the result as .csv file with following piece of code. However, output files are saved as input file format (LAS). I really appreciate any help.
...ANSWER
Answered 2019-Nov-27 at 12:19Try this,file name should be csv
QUESTION
I am new to R. I am trying to apply a function to several files and write a dataframe which includes all the file names as one column and corresponding "roughness" result as another column.
...ANSWER
Answered 2019-Oct-30 at 08:09I think you are almost there. You can use a dataframe. I don't have your file or the library lidR installed, so hopefully rumple_index doesn't return anything too cranky
QUESTION
I'm trying to learn how to use the options of catalog() within the lidR package in R. I'd like to save directly the processed files, for example, using grid_terrain() function over a catalog and save files keeping the filename of the original LAZ/LAS file.
As you can see in the guide of the package, catalog has the option of save the file using things like {XBOTTOM}_{ID}:
...ANSWER
Answered 2019-Mar-09 at 08:41Found the answer in the grid_terrain help section "supported processing options":
output_files: Return the output in R or write each cluster’s output in a file. Supported templates are ... , ORIGINALFILENAME.
This is the solution:
QUESTION
How to create a SpatialPointsDataFrame from a list of SpatialPoints?
In the following there´s a code of a list containing SpatialPoints:.
...ANSWER
Answered 2018-Jan-13 at 13:01Since there is no minimal working example as hrbrmstr. You need to provide one. For now, I use a sample data from the GISTools package and demonstrate one way. There is a data set call newhaven in the package. breach is the data. I made a copy of it and created foo, which class is SpatialPoints. I created two list elements using foo.
Using your code, I looped through each list element and converted SpatialPoints to SpatialPointsDataFrame. I hope you can figure out how to apply the following code to your case.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install LiDR
You can use LiDR like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the LiDR component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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