Feature Construction For Spatial Data
Feature Construction for Spatial Data is a methodological framework within spatial feature engineering that systematically generates novel spatial attributes from raw geographic inputs by explicitly capturing spatial dependencies, configurations, and relationships through mathematical or computational transformations.
8
Publications
4.9K
Citations
26
Authors
14
Institutions
Publications per year
2017–2026
8
Parents
8
Simple Features for R: Standardized Support for Spatial Vector Data
Edzer Pebesma · The R Journal · 2018 · 4.6K citations · Full text
Clustering to Reduce Spatial Data Set Size
Geoff Boeing · SSRN Electronic Journal · 2018 · 22 citations · Full text
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14
University of Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
50 citations

University of Petroleum and Energy Studies
Dehradun, India
1 h-index
1 publications
241 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
22 citations
Institute of Remote Sensing and Digital Earth
Beijing, China
1 h-index
4 publications
52 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
39 citations
Central University of Finance and Economics
Beijing, China
1 h-index
1 publications
37 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
14 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
1 h-index
4 publications
132 citations
1–8 of 14
1 publications · 13 citations
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1 publications · 241 citations
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1 publications · 33 citations
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1 publications · 37 citations
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1 publications · 13 citations
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