||2 years ago|
|examples||2 years ago|
|gx||2 years ago|
|src||2 years ago|
|.gitignore||3 years ago|
|README.md||2 years ago|
|setup.py||3 years ago|
Software for seismicity clustering.
- Computation of similarity matrices upon different metrics
- Clustering using DBSCAN algorithm
- Graphical output of cluster features
Please, contact me for further information and help: email@example.com
Download and Installation
git clone https://git.pyrocko.org/cesca/seiscloud.git cd seiscloud sudo python3 setup.py install
If you need help add a
--help to the command call in order to get additional information.
If clustering steps need to be repeated use the
--force option to overwrite previous results.
At first you need a configuration file for seiscloud. To create an example configuration file:
Adapt the configuration file to your needs or build your own configuration file. The next step is to initialize your project:
seiscloud init <configuration_file>
The previous command will create a project directory and store there some important information (e.g. the seismic catalog). If a similarity matrix is already available this will also be stored in the project directory. Otherwise the similarity matrix can be computed according to the metric chosen in the configuration time (e.g. similarity in location, origin time, focal mechanism, moment tensor, ...):
seiscloud matrix <configuration_file>
Now, run the clustering:
seiscloud cluster <configuration_file>
Results, in the form of subcatalogs for each cluster, are stored as ascii file (pyrocko format) in the subdirectory clustering_results of the project directory.
And finally produce plots:
seiscloud plot <configuration_file>
Figures illustrative of the clustering results are stored as png or pdf files in the subdirectory clustering_plots of the project directory.