Cargando…
Clustering Analysis Methods for GNSS Observations: A Data‐Driven Approach to Identifying California's Major Faults
We present a data‐driven approach to clustering or grouping Global Navigation Satellite System (GNSS) stations according to observed velocities, displacements or other selected characteristics. Clustering GNSS stations provides useful scientific information, and is a necessary initial step in other...
Autores principales: | Granat, Robert, Donnellan, Andrea, Heflin, Michael, Lyzenga, Gregory, Glasscoe, Margaret, Parker, Jay, Pierce, Marlon, Wang, Jun, Rundle, John, Ludwig, Lisa G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596415/ https://www.ncbi.nlm.nih.gov/pubmed/34820480 http://dx.doi.org/10.1029/2021EA001680 |
Ejemplares similares
-
Improving access to geodetic imaging crustal deformation data using GeoGateway
por: Donnellan, Andrea, et al.
Publicado: (2021) -
Optimizing Earthquake Nowcasting With Machine Learning: The Role of Strain Hardening in the Earthquake Cycle
por: Rundle, John B., et al.
Publicado: (2022) -
Survey of Transverse Range Fire Scars in 10 Years of UAVSAR Polarimetry
por: Parker, Jay, et al.
Publicado: (2021) -
Multifractal Analysis of a Seismic Moment Distribution Obtained From InSAR Inversion
por: Saylor, Cameron, et al.
Publicado: (2021) -
Buried Aseismic Slip and Off‐Fault Deformation on the Southernmost San Andreas Fault Triggered by the 2010 El Mayor Cucapah Earthquake Revealed by UAVSAR
por: Parker, Jay, et al.
Publicado: (2021)