A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data

Many studies are in an effort to explore urban spatial structure, and urban functional regions have become the subject of increasing attention among planners, engineers and public officials. Attempts have been made to identify urban functional regions using high spatial resolution (HSR) remote sensi...

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Bibliographic Details
Published in:	Computers, environment and urban systems Vol. 80; p. 101442
Main Authors:	Hu, Sheng, He, Zhanjun, Wu, Liang, Yin, Li, Xu, Yongyang, Cui, Haifu
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.03.2020 Elsevier Science Ltd
Subjects:	Accessibility Clustering Detection Natural language processing Points-of-interest Remote sensing Spatial clusters Spatial resolution Urban areas Urban functional regions Word embeddings Words (language) Spatial clusters Points-of-interest Word embeddings Urban functional regions
ISSN:	0198-9715, 1873-7587
Online Access:	Get full text
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