Articles | Volume 10, issue 4
Research article
27 Aug 2019
Research article |  | 27 Aug 2019

Visual analytics of aftershock point cloud data in complex fault systems

Chisheng Wang, Junzhuo Ke, Jincheng Jiang, Min Lu, Wenqun Xiu, Peng Liu, and Qingquan Li

Related authors

Coseismic slip inversion based on InSAR arc measurements
C. Wang, X. Ding, and Q. Li
Nat. Hazards Earth Syst. Sci., 14, 649–656,,, 2014

Related subject area

Subject area: Crustal structure and composition | Editorial team: Seismics, seismology, paleoseismology, geoelectrics, and electromagnetics | Discipline: Seismology
Constraints on fracture distribution in the Los Humeros geothermal field from beamforming of ambient seismic noise
Heather Kennedy, Katrin Löer, and Amy Gilligan
Solid Earth, 13, 1843–1858,,, 2022
Short summary
Quantifying gender gaps in seismology authorship
Laura Anna Ermert, Maria Koroni, and Naiara Korta Martiartu
EGUsphere,,, 2022
Short summary
Radial anisotropy and S-wave velocity depict the internal to external zone transition within the Variscan orogen (NW Iberia)
Jorge Acevedo, Gabriela Fernández-Viejo, Sergio Llana-Fúnez, Carlos López-Fernández, Javier Olona, and Diego Pérez-Millán
Solid Earth, 13, 659–679,,, 2022
Short summary
Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept
Nicola Piana Agostinetti, Alberto Villa, and Gilberto Saccorotti
Solid Earth, 13, 449–468,,, 2022
Short summary
Seismic monitoring of the STIMTEC hydraulic stimulation experiment in anisotropic metamorphic gneiss
Carolin M. Boese, Grzegorz Kwiatek, Thomas Fischer, Katrin Plenkers, Juliane Starke, Felix Blümle, Christoph Janssen, and Georg Dresen
Solid Earth, 13, 323–346,,, 2022
Short summary

Cited articles

Barbot, S., Lapusta, N., and Avouac, J. P.: Under the hood of the earthquake machine: toward predictive modeling of the seismic cycle, Science, 336, 707–710, 2012. 
Breunig, M. M., Kriegel, H., Ng, R. T., and Sander, J.: LOF: identifying density-based local outliers, International Conference on Management of Data, 29, 93–104, 2000. 
Cheloni, D., De Novellis, V., Albano, M., Antonioli, A., Anzidei, M., Atzori, S., Avallone, A., Bignami, C., Bonano, M., and Calcaterra, S.: Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data, Geophys. Res. Lett., 44, 6778–6787, 2017. 
Chiaraluce, L., Di Stefano, R., Tinti, E., Scognamiglio, L., Michele, M., Casarotti, E., Cattaneo, M., De Gori, P., Chiarabba, C., and Monachesi, G.: The 2016 Central Italy seismic sequence: a first look at the mainshocks, aftershocks, and source models, Seismol. Res. Lett., 88, 757–771, 2017. 
Elliott, J., Copley, A., Holley, R., Scharer, K., and Parsons, B.: The 2011 Mw 7.1 van (eastern Turkey) earthquake, J. Geophys. Res.-Sol. Ea., 118, 1619–1637, 2013. 
Short summary
The point cloud of located aftershocks contains the information which can directly reveal the fault geometry and temporal evolution of an earthquake sequence. However, there is a lack of studies using state-of-the-art visual analytics methods to explore the data to discover hidden information about the earthquake fault. We present a novel interactive approach to illustrate 3-D aftershock point clouds, which can help the seismologist to better understand the complex fault system.