Skip to main content
Donate to the Python Software Foundation or Purchase a PyCharm License to Benefit the PSF! Donate Now

Python tools for the geospatial analysis of a velocityfield, using Davis & Titus (2011) and Bevis & Brown (2014) papers.

Project description

# GNSS Field Analysis (GFA)

My name is Vicente Yañez and I’m a geologist interested in computer science. GFA is a compilation of python’s functions that I wrote for my internship in [Centro Sismológico Nacional](http://www.sismologia.cl/) (CSN), during my undergraduate thesis and that I am still developing it.

GFA have the functions to calculate vectors from a gnss time series data with the trajectory model of [Bevis & Brown, 2014](https://link.springer.com/article/10.1007/s00190-013-0685-5) and with this, obtain a velocity field that represent the cortical deformation. Also, for the calculation of the velocity field, GFA has the distance-weighed function from [Cardozo & Allmendinger](http://www.sciencedirect.com/science/article/pii/S0098300408002410).After, from the velocity field this program include the tools to calculate the velocity tensor, and from this, the vorticity and stretching tensors (from the equations of [Davis & Titus, 2011](http://www.joshuadavis.us/teaching/2013fcomps/davistitus2011.pdf)).

I am sorry if you read any misspells o grammatical error. English is my second lenguage and my skills in it is far from perfect.

## Collaborators Francisco García. Francisco is a geologist who is doing his doctoral thesis in Universidad de Concepción about the connection of sismicity and volcanic eruptions in the southern Andes. You can contact him to his email franciscogarcia@udec.cl

Also you can contact me to my mail vicenteyanez@protonmail.com

# Install

All the dependences necessary for run GFA are installable via pip. Also, the use of virtualev is recommended.

` sudo pip3 install virtualenv (if you don't have it installed) mkdir your_project cd your_project virtualenv your_project . your_project/bin/activate sudo pip3 install gfa `

If everything is alright, you can continue in the [How to start page](https://github.com/VicenteYanez/GFA/wiki/How-to-start)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
gfa-1.3.3.tar.gz (35.6 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page