NoiseModelling | A free and open-source model to compute noise maps

by Ifsttar Java Version: v3.4.4 License: GPL-3.0

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

kandi X-RAY | NoiseModelling Summary

NoiseModelling is a Java library. NoiseModelling has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

A free and open-source model to compute noise maps.

Support

Quality

Security

License

Reuse

Support

NoiseModelling has a low active ecosystem.

It has 76 star(s) with 51 fork(s). There are 50 watchers for this library.

It had no major release in the last 12 months.

There are 49 open issues and 141 have been closed. On average issues are closed in 67 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NoiseModelling is v3.4.4

Quality

NoiseModelling has 0 bugs and 0 code smells.

Security

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

NoiseModelling code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NoiseModelling is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

NoiseModelling releases are available to install and integrate.

Build file is available. You can build the component from source.

NoiseModelling saves you 13752 person hours of effort in developing the same functionality from scratch.

It has 47044 lines of code, 1423 functions and 194 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed NoiseModelling and discovered the below as its top functions. This is intended to give you an instant insight into NoiseModelling implemented functionality, and help decide if they suit your requirements.

Builds an augmented path .
Computes reflexion paths
Get a record for the given phase
The main method .
Extracts theRailwayLights from a ResultSet
Extracts the elevation information from a result set .
Reads a string from an input stream .
Generate a list of receivers from a cell .
Compute the attenuation vectors
Prepare the given cell .

Get all kandi verified functions for this library.

NoiseModelling Key Features

No Key Features are available at this moment for NoiseModelling.

NoiseModelling Examples and Code Snippets

No Code Snippets are available at this moment for NoiseModelling.

Community Discussions

No Community Discussions are available at this moment for NoiseModelling.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install NoiseModelling

You can download it from GitHub.
You can use NoiseModelling 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 NoiseModelling 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 .

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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