Analysis of Spatial and Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data

DOI10.1137/21M1435033zbMath1498.92221arXiv2107.09188WikidataQ114615445 ScholiaQ114615445MaRDI QIDQ5100092

Mason A. Porter, Abigail Hickok, Deanna Needell

Publication date: 29 August 2022

Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.09188

zbMATH Keywords

spatial datatopological data analysispersistent homologyspatiotemporal dataCOVID-19

Mathematics Subject Classification ID

Epidemiology (92D30) Persistent homology and applications, topological data analysis (55N31) Simplicial sets and complexes in algebraic topology (55U10)

Related Items (1)

Topological Data Analysis of Spatial Systems

Uses Software

• GitHub

Cites Work

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• Inferring symbolic dynamics of chaotic flows from persistence
• Persistent Homology of Geospatial Data: A Case Study with Voting
• Persistent topological features of dynamical systems

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