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...

Descripción completa

Detalles Bibliográficos
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:
Technical Reports: Methods
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

Internet

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