GIS-automated delineation of hospital service areas in Florida: from Dartmouth method to network community detection methods-Reference-Cited by-同舟云学术

GIS-automated delineation of hospital service areas in Florida: from Dartmouth method to network community detection methods

Published:2022-02-01 Issue:2 Volume:28 Page:93-109
ISSN:1947-5683
Container-title:Annals of GIS
language:en
Short-container-title:Annals of GIS

Author:

Wang Changzhen¹,Wang Fahui¹

Affiliation:

1. Department of Geography & Anthropology, Louisiana State University, Baton Rouge, LA, USA

Funder

National Cancer Institute

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475683.2022.2026470

Reference39 articles.

1. AHRQ (Agency for Healthcare Research and Quality). 2011. Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID)—Florida. Rockville, MD. (Accessed 18 January 2021. https://www.hcup-us.ahrq.gov/sidoverview.jsp

2. Scalable and Efficient Flow-Based Community Detection for Large-Scale Graph Analysis

3. Fast unfolding of communities in large networks

4. CHHS (California Health and Human Services Agency). 2019. CHHS Open Data. Accessed 15 March 2021 https://data.chhs.ca.gov/

5. Take the edge off: A hybrid geographic food access measure

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