Harmonising Incompatible Datasets to Enable GIS Use to Study Non-communicable Diseases in Tonga

Jione, SIF and Norman, P orcid.org/0000-0002-6211-1625 (2022) Harmonising Incompatible Datasets to Enable GIS Use to Study Non-communicable Diseases in Tonga. Applied Spatial Analysis and Policy. ISSN 1874-4621

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Copyright, Publisher and Additional Information: © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Geographic Information Systems; Area deprivation; Noncommunicable diseases; Geographic conversion tables; Tonga
Dates:
  • Accepted: 14 June 2022
  • Published (online): 14 July 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 03 Aug 2022 09:26
Last Modified: 03 Aug 2022 09:26
Status: Published online
Publisher: Springer
Identification Number: https://doi.org/10.1007/s12061-022-09466-y
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