Multi-level method for discovery of regional co-location patterns-Reference-Cited by-同舟云学术

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Multi-level method for discovery of regional co-location patterns

Published:2017-06-08 Issue:9 Volume:31 Page:1846-1870
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Deng Min¹,Cai Jiannan¹,Liu Qiliang¹,He Zhanjun¹,Tang Jianbo¹

Affiliation:

1. Department of Geo-informatics, Central South University, Hunan, China

Funder

Postgraduate Research and Innovation Foundation of Central South University

The National Science Foundation of China (NSFC)

Natural Foundation of Hunan Province

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2017.1334890

Reference17 articles.

1. Mining Statistically Significant Co-location and Segregation Patterns

2. The Ecology of Mutualism

3. An adaptive spatial clustering algorithm based on delaunay triangulation

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3. Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division;Data Science and Engineering;2024-08-29

4. Graph-based spatial co-location pattern mining: integrate geospatial analysis and logical reasoning;International Journal of Digital Earth;2024-08-13

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