Spatially–encouraged spectral clustering: a technique for blending map typologies and regionalization-Reference-Cited by-同舟云学术

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Spatially–encouraged spectral clustering: a technique for blending map typologies and regionalization

Published:2021-07-05 Issue:11 Volume:35 Page:2356-2373
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Wolf Levi John¹^ORCID

Affiliation:

1. School of Geographical Sciences, University of Bristol, Bristol, UK

Funder

National Science Foundation

Alan Turing Institute

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2021.1934475

Reference55 articles.

1. Using AMOEBA to Create a Spatial Weights Matrix and Identify Spatial Clusters

2. Local Indicators of Spatial Association-LISA

3. A class of spatial econometric methods in the empirical analysis of clusters of firms in the space

4. The Detection of Clusters in Rare Diseases

5. Structure and information in spatial segregation

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