pgs | Probabilistic Global Search for Seismic or Acoustic Location

by sjarrowsmith Python Version: Current License: No License

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

kandi X-RAY | pgs Summary

pgs is a Python library. pgs has no bugs, it has no vulnerabilities and it has low support. However pgs build file is not available. You can download it from GitHub.

Probabilistic Global Search for Seismic or Acoustic Location.

Support

Quality

Security

License

Reuse

Support

pgs has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pgs has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pgs is current.

Quality

pgs has no bugs reported.

Security

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

License

pgs does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

pgs has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Create a model for a TauPy model
Calculate TTR curve times for a given model
Compute time stamps for a given grid of stations
Generate a source gridgrid from bounds
Calculate the maximum distance between a grid node
Computes backazimuth of the backazimuths grid
Plot marginal distributions
Draws a scale bar chart
Calculate the contour threshold of a contour
Compute likelihood for an event
Compute the likelihood for an event
Calculate the Gaussian from a residual
Plot a likelihood function
Plot a marginalized distribution
Plots a marginal distribution for a given prediction

Get all kandi verified functions for this library.

pgs Key Features

No Key Features are available at this moment for pgs.

pgs Examples and Code Snippets

No Code Snippets are available at this moment for pgs.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pgs

Open tutorial.ipynb in a Jupyter environment.

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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