Sims: An interactive tool for geospatial matching and clustering.
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| Title: | Sims: An interactive tool for geospatial matching and clustering. |
|---|---|
| Authors: | Zaytar A; Microsoft AI for Good Research Lab, Nairobi, Kenya., Abebe Tadesse G; Microsoft AI for Good Research Lab, Nairobi, Kenya., Robinson C; Microsoft AI for Good Research Lab, Redmond, Washington, United States of America., Bendito EG; International Institute of Tropical Agriculture, Nairobi, Kenya., Devare M; International Institute of Tropical Agriculture, Montpellier, Occitanie, France., Chernet M; International Institute of Tropical Agriculture, Nairobi, Kenya., Hacheme GQ; Microsoft AI for Good Research Lab, Nairobi, Kenya., Dodhia R; Microsoft AI for Good Research Lab, Redmond, Washington, United States of America., Ferres JML; Microsoft AI for Good Research Lab, Redmond, Washington, United States of America. |
| Source: | PloS one [PLoS One] 2026 Apr 08; Vol. 21 (4), pp. e0344525. Date of Electronic Publication: 2026 Apr 08 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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