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Condensation of earthquake location distributions: Optimal spatial information encoding

version 1.301.0.0 (705 KB) by Yavor Kamer
Reduces the size of a catalog by taking into the account individual location uncertainties

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Updated 30 Mar 2017

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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

Cite As

Yavor Kamer (2020). 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. Retrieved .

Comments and Ratings (2)

Yavor Kamer

Thanks for pointing that out Yicun. I added the randnorm.m file now. I forgot that it was from the Lightspeed library and not a build-in function.

yicun

can you upload the file of randnorm.m please?

Updates

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

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: PLOT_GAUSSIAN_ELLIPSOID