Condensation of earthquake location distributions: Optimal spatial information encoding
The condensation method exploits the heterogeneity of the probability distribution functions (PDF) of event locations to reduce the size of seismic catalogs while preserving the overall spatial probability density. Ranked by decreasing location errors, the PDFs of events are successively condensed onto better located and lower variance event PDFs.
A data set containing the 1992 M7.3 Landers aftershocks is also provided for demonstration purposes.
Detailed description of the method can be is published in the following paper:
Y. Kamer, G. Ouillon, D. Sornette and J. Wössner (2014) Condensation of earthquake location distributions: Optimal spatial information encoding and application to multifractal analysis of South Californian seismicity http://arxiv.org/abs/1407.1036
Citar como
Yavor Kamer (2024). Condensation of earthquake location distributions: Optimal spatial information encoding (https://www.mathworks.com/matlabcentral/fileexchange/48702-condensation-of-earthquake-location-distributions-optimal-spatial-information-encoding), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- Sciences > Earth, Ocean, and Atmospheric Sciences > Geology >
- Sciences > Earth, Ocean, and Atmospheric Sciences > Seismology >
- Engineering > Civil and Environmental Engineering > Earthquake Engineering >
Etiquetas
Agradecimientos
Inspirado por: PLOT_GAUSSIAN_ELLIPSOID
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.301.0.0 | Added the randnorm.m file from the Lightspeed library |
||
1.3.0.0 | Added 2D/3D ellipsoid plots using Gautam Vallabha's function |
||
1.2.0.0 | Corrected a bug which caused some the off-diagonal elements in the covariance matrices to be set to zero |
||
1.1.0.0 | added cover image |
||
1.0.0.0 |