A web-based analytical framework for the detection and visualization space-time clusters of COVID-19-Reference-Cited by-同舟云学术

A web-based analytical framework for the detection and visualization space-time clusters of COVID-19

Published:2023-10-17 Issue: Volume: Page:1-19
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Lan Yu¹²,Delmelle Eric¹³⁴^ORCID

Affiliation:

1. Department of Geography and Earth Science, University of North Carolina at Charlotte, NC, USA

2. Department of Epidemiology of Microbial Diseases, Yale School of Public Health, CT, USA

3. Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland

4. Cartography and GIS Research Group, Vrije Universiteit Brussels, Belgium

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/10.1080/15230406.2023.2264749

Reference39 articles.

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3. D³ Data-Driven Documents

4. Bureau. U. S. C. (2019). Total population American community survey 5-year estimates . Retrieved March 19 2023 from https://data.census.gov/table?q=2019+Community+Survey+(ACS)+5-year+estimates+&t=Populations+and+People&g=010XX00US$0400000&d=ACS+5-Year+Estimates+Detailed+Tables&tid=ACSDT5Y2019.B01003

5. Bureau U. S. C. (2020). TIGER/line shapefiles and TIGER/line files . Retrieved March 19 2023 from https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html

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