Mining Statistically Significant Co-location and Segregation Patterns-Reference-Cited by-同舟云学术

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Mining Statistically Significant Co-location and Segregation Patterns

Published:2014-05 Issue:5 Volume:26 Page:1185-1199
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Barua Sajib,Sander Jorg

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/6814899/06523223.pdf?arnumber=6523223

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns;IEEE Transactions on Knowledge and Data Engineering;2024-09

2. Discovering spatial co‐location patterns of urban facilities and their asymmetric characteristics;Transactions in GIS;2024-06-25

3. Rethinking the null hypothesis in significant colocation pattern mining of spatial flows;Journal of Geographical Systems;2024-05-03

4. Regional spatial organization of urban functional zones in the Yangtze River economic Belt based on co-location patterns mining;Ecological Indicators;2024-02

5. Colocations of spatial clusters among different industries;Computational Urban Science;2023-11-06

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