Spatial Autocorrelation Features is a geospatial feature engineering method that quantifies the degree to which nearby spatial entities exhibit similar attribute values, distinguishing itself through the formal incorporation of spatial dependence structures to enhance predictive modeling in geographic data analysis.
107
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21.5K
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388
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200
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2017–2026
55
Publications
107
<i><b>GeoDa</b></i>: An Introduction to Spatial Data Analysis
Luc Anselin, Ibnu Syabri, Youngihn Kho · Geographical Analysis · 2005 · 2.5K citations
Computing, Geography, Visualization +17
1–5 of 107
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388
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2
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1–5 of 388
Institutions
200
Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
301 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
3 h-index
4 publications
71 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
6 publications
27.6K citations
University of Milano-Bicocca
Milan, Italy
2 h-index
7 publications
394 citations
Max Planck Society
Munich, Germany
2 h-index
2 publications
57 citations
Zhejiang University
Hangzhou, China
2 h-index
6 publications
262 citations
Institute of Agricultural Economics and Development
Beijing, China
2 h-index
6 publications
137 citations
Huazhong Agricultural University
Wuhan, China
2 h-index
4 publications
50 citations
1–8 of 200
Venues
- Sustainability
8 publications · 176 citations
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- International Journal of Environmental Research and Public Health
4 publications · 101 citations
4
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- Frontiers in Environmental Science
3 publications · 48 citations
3
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- ISPRS International Journal of Geo-Information
IJGI · 2 publications · 90 citations
2
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 2 publications · 176 citations
2
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1–5