A graph‐based approach to find teleconnections in climate data

DOI10.1002/sam.11181OpenAlexW2045272935WikidataQ57426882 ScholiaQ57426882MaRDI QIDQ4969893

Nagiza F. Samatova, Auroop R. Ganguly, Stefan Liess, Arjun Kumar, Peter Snyder, Vipin Kumar, Jaya Kawale, Michael Steinbach, Frederick H. M. Semazzi

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11181

zbMATH Keywords

graph algorithmteleconnectionsdipole Discovery

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Towards geostatistical learning for the geosciences: a case study in improving the spatial awareness of spectral clustering

Uses Software

• DENCLUE

Cites Work

• Co-Integration and Error Correction: Representation, Estimation, and Testing
• Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science

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