Graph-based Spatial Features
Graph-Based Spatial Features is a spatial feature engineering method that represents geographic entities and their relational dependencies through graph structures, wherein nodes encode spatial units and edges capture topological, distance-based, or functional interactions to model complex spatial autocorrelation and neighborhood patterns.
48
Publications
2.2K
Citations
226
Authors
96
Institutions
Publications per year
2017–2026
41
48
Ziyu Jia, Youfang Lin, Jing Wang et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2021 · 239 citations · Full text
Gaodian Zhou, Weitao Chen, Qianshan Gui et al. · IEEE Transactions on Geoscience and Remote Sensing · 2021 · 166 citations
1–5 of 48
226
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Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 36 citations
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1
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1
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1–5 of 226
96
China University of Geosciences
Wuhan, China
3 h-index
7 publications
923 citations
Beijing Jiaotong University
Beijing, China
2 h-index
10 publications
1.8K citations
Wuhan University
Wuhan, China
2 h-index
5 publications
282 citations
Baidu (China)
Beijing, China
2 h-index
5 publications
236 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
116 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
6 publications
221 citations
University of California, Berkeley
Berkeley, United States
2 h-index
6 publications
210 citations

North China Electric Power University
Beijing, China
2 h-index
8 publications
244 citations
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2 publications · 110 citations
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2 publications · 178 citations
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2 publications · 58 citations
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2 publications · 214 citations
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2 publications · 273 citations
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