Spatial clustering patterns of child weight status in a southeastern US county-Reference-Cited by-同舟云学术

Spatial clustering patterns of child weight status in a southeastern US county

Published:2018-10 Issue: Volume:99 Page:12-21
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Hughey S. Morgan,Kaczynski Andrew T.,Porter Dwayne E.,Hibbert James,Turner-McGrievy Gabrielle^ORCID,Liu Jihong^ORCID

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference71 articles.

1. Local indicators of spatial Association—LISA;Anselin;Geographical Analysis,1995

2. Exploring spatial data with GeoDa: A workbook;Anselin,2005

3. GeoDa: An introduction to spatial data analysis;Anselin,2010

4. ArcGIS for Desktop. Optimized Hot Spot Analysis. http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-statistics-toolbox/optimized-hot-spot-analysis.htm. Accessed May 28, 2016.

5. A review of spatial methods in epidemiology, 2000–2010;Auchincloss;Annual Review of Public Health,2012

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