Spatial Feature Engineering
Spatial Feature Engineering is a specialized branch of feature engineering that focuses on the extraction, transformation, and construction of features from spatial or geographic data to improve the performance of machine learning models in location-aware applications.
1K
Publications
60.9K
Citations
3.9K
Authors
1.1K
Institutions
Publications per year
2017–2026
748
1K
Feature Mining for Localised Crowd Counting
Ke Chen, Chen Change Loy, Shaogang Gong et al. · 2012 · 706 citations · Full text
What makes Paris look like Paris?
Carl Doersch, Saurabh Singh, Abhinav Gupta et al. · ACM Transactions on Graphics · 2012 · 687 citations
Computing, Geography, Geoinformatics +13
1–5 of 1K
3.9K
7
h-index
6
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
6 publications · 409 citations
6
h-index
5
h-index
5
h-index
1–5 of 3.9K
1.1K

Chinese Academy of Sciences
Beijing, China
25 h-index
154 publications
8.3K citations
Wuhan University
Wuhan, China
22 h-index
105 publications
3.9K citations
University of Chinese Academy of Sciences
Beijing, China
22 h-index
73 publications
3.9K citations

Peking University
Beijing, China
17 h-index
52 publications
4.4K citations
Nanyang Technological University
Singapore, Singapore
15 h-index
43 publications
2.2K citations

Zhejiang University
Hangzhou, China
14 h-index
33 publications
1.4K citations
China University of Geosciences
Wuhan, China
14 h-index
46 publications
2.5K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
46 publications
3.2K citations
1–8 of 1.1K
24 publications · 2K citations
20
h-index
Repository · 33 publications · 1.5K citations
20
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30 publications · 1K citations
20
h-index
23 publications · 1.3K citations
18
h-index
16 publications · 728 citations
16
h-index
1–5