Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California's Major Faults-Reference-Cited by-同舟云学术

Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California's Major Faults

Published:2021-10-29 Issue:11 Volume:8 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth Space Sci

Author:

Granat Robert¹^ORCID,Donnellan Andrea²^ORCID,Heflin Michael²^ORCID,Lyzenga Gregory²^ORCID,Glasscoe Margaret²^ORCID,Parker Jay²^ORCID,Pierce Marlon³,Wang Jun³^ORCID,Rundle John⁴^ORCID,Ludwig Lisa G.⁵^ORCID

Affiliation:

1. City College of New York New York NY USA

2. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

3. Indiana University Bloomington IN USA

4. University of California, Davis The Santa Fe Institute Santa Fe NM USA

5. University of California, Irvine Irvine CA USA

Funder

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021EA001680

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4. Improving access to geodetic imaging crustal deformation data using GeoGateway

5. Fracture Advancing Step Tectonics Observed in the Yuha Desert and Ocotillo, CA, Following the 2010 Mw7.2 El Mayor-Cucapah Earthquake

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