Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets-Reference-Cited by-同舟云学术

Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets

Published:2021-10-25 Issue: Volume: Page:1-22
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Halpern Dylan¹^ORCID,Lin Qinyun¹^ORCID,Wang Ryan¹^ORCID,Yang Stephanie¹,Goldstein Steve²^ORCID,Kolak Marynia¹^ORCID

Affiliation:

1. Center for Spatial Data Science, The University of Chicago, IL, USA

2. Department of Botany. American Family Insurance Data Science Institute, University of Wisconsin-Madison, WI, USA

Funder

Robert Wood Johnson Foundation

National Institutes of Health

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15230406.2021.1975311

Reference50 articles.

1. Representing Data Quality

2. Centers for Disease Control and Prevention. (2020a, March 28). Cases in U.S. | CDC. https://web.archive.org/web/20200320000652/https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

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