A novel hierarchical aggregation algorithm for optimal repartitioning of statistical regions-Reference-Cited by-同舟云学术

A novel hierarchical aggregation algorithm for optimal repartitioning of statistical regions

Published:2023-04-28 Issue:7 Volume:37 Page:1640-1666
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Juricev-Martincev Filip¹^ORCID,Giuffrida Bernadette²^ORCID,Thompson Helen¹^ORCID,White Gentry¹^ORCID

Affiliation:

1. Queensland University of Technology, Brisbane, Australia

2. Australian Bureau of Statistics, Brisbane, Australia

Funder

Australian Bureau of Statistics

Queensland University of Technology

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2204347

Reference43 articles.

1. Regionalization of Youth and Adolescent Weight Metrics for the Continental United States Using Contiguity-Constrained Clustering and Partitioning

2. Constraint-based electoral districting using a new compactness measure: An application to Portugal

3. Efficient regionalization techniques for socio‐economic geographical units using minimum spanning trees

4. Australian Bureau of Statistics 2016. Australian statistical geography standard (asgs): Volume 1 - main structure and greater capital city statistical areas. https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.001July/%202016?OpenDocument

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