Geospatial Pattern Recognition is a geospatial analysis technique that identifies and interprets recurring spatial configurations, structures, or relationships in geographic data through computational methods grounded in machine learning and spatial statistics.
21
Publications
978
Citations
69
Authors
33
Institutions
Publications per year
2017–2026
3
Parents
Publications
21
Recognizing spatial patterns: a noisy exemplar approach
Michael J. Kahana, Robert Sekuler · Vision Research · 2002 · 138 citations
Comparing geospatial techniques to predict SOC stocks
Yaolin Liu, Long Guo, Qinghu Jiang et al. · Soil and Tillage Research · 2014 · 86 citations
1–5 of 21
Authors
69
- BB
3
h-index
- RR
3
h-index
- WT
2
h-index
- MK
1
h-index
- MJ
1
h-index
1–5 of 69
Institutions
33
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
210 citations
Oak Ridge National Laboratory
Oak Ridge, United States
3 h-index
10 publications
184 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
4 publications
272 citations
Sandia National Laboratories California
Livermore, United States
1 h-index
1 publications
18 citations
Chosun University
Gwangju, South Korea
1 h-index
1 publications
48 citations
Research Institute for Geo-Hydrological Protection
Perugia, Italy
1 h-index
3 publications
78 citations
Yonsei University
Seoul, South Korea
1 h-index
1 publications
48 citations
University of Minnesota
Minneapolis, United States
1 h-index
6 publications
258 citations
1–8 of 33
Venues
- IEEE Transactions on Geoscience and Remote Sensing
3 publications · 192 citations
3
h-index
- Papers of the Regional Science Association
2 publications · 168 citations
2
h-index
- Vision Research
1 publications · 138 citations
1
h-index
- Hydrogeology Journal
1 publications · 26 citations
1
h-index
- ISPRS International Journal of Geo-Information
IJGI · 1 publications · 43 citations
1
h-index
1–5