Developing a locally adaptive spatial multilevel logistic model to analyze ecological effects on health using individual census records

Dong, G., Ma, J., Lee, D. et al. (3 more authors) (2019) Developing a locally adaptive spatial multilevel logistic model to analyze ecological effects on health using individual census records. Annals of the American Association of Geographers, 110 (3). pp. 739-757. ISSN 2469-4452

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 American Association of Geographers. This is an author-produced version of a paper subsequently published in Annals of the American Association of Geographers. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: geography of health; local spatial modeling; multilevel models; spatial autocorrelation; spatial econometrics
Dates:
  • Accepted: 18 June 2019
  • Published (online): 18 September 2019
  • Published: 18 September 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of East Asian Studies (Sheffield)
Funding Information:
FunderGrant number
ECONOMIC & SOCIAL RESEARCH COUNCIL (ESRC)ES/P003567/1
Depositing User: Symplectic Sheffield
Date Deposited: 15 Nov 2019 15:21
Last Modified: 17 Dec 2021 09:56
Status: Published
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: https://doi.org/10.1080/24694452.2019.1644990
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