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A similarity-based automatic data recommendation approach for geographic models
Authors:Yunqiang Zhu  A-Xing Zhu  Min Feng  Hongwei Zhao  Jie Yang
Affiliation:1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China;2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China???;3. Collaborative Innovation Centre for Baiyangdian Basin Ecological Protection and Jingjinji Regional Sustainable Development, Hebei University, Baoding, China;4. Department of Geography, University of Wisconsin-Madison, Madison, WI, USA;5. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China???;6. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China;7. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing, China;8. State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing, China;9. Global Land Cover Facility, Department of Geographical Sciences, University of Maryland, College Park, USA;10. Department of Cognitive Computing, Agriculture Information Institute of Chinese Academy of Agricultural Sciences, Beijing, China;11. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
Abstract:
Keywords:Geographic model  public data  automatic recommendation  data similarity  data sharing
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