Li An

 

Li AnProfessor of Geography
Storm Hall 303C  |  (619) 594-5870  | [email protected]
Curriculum Vitae | Research Website

Li An’s research focuses on complex human-environment systems/science, data science, spatial analysis and modeling, landscape ecology, and complexity theory. He is a Fellow of The American Association for the Advancement of Science (AAAS), a lifetime distinction awarded to leading scientists across the world (elected since 2020). He has received multiple other awards or recognitions from college, university, to national or international organizations. He has been leading or involved in research projects funded by multiple federal agencies (over $11 million in total since 2007), and these projects are broadly distributed in Nepal, Ghana, USA, and China. He has served on the editorial board of Annals of the American Association of Geographers, Ecological Modelling, The Journal of Artificial Societies and Social Simulation (JASSS), and International Journal of Geospatial and Environmental Research. His other services include guest-editing special issues in prestigious journals, serving on panels for multiple federal or international agencies, organizing sessions, symposia, and conferences sponsored by various academic institutions, and mentoring Ph.D. and M.S. students. He is the founding director of the SDSU Center for Complex Human-Environment Systems (CHES) and Councilor-at-Large (Executive Committee member) of the International Association of Landscape Ecology-North America (IALE-NA).

  • Ph.D. (Systems Modeling), Michigan State University, 2003
  • M.S. (Probability and Statistics), Michigan State University, 2002
  • M.S. (Systems Ecology), Chinese Academy of Sciences, 1992
  • B.S. (Economic Geography), Beijing University, 1989
  • GEOG 104: Geographic Information Science and Spatial Reasoning
  • GEOG 385: Spatial Data Analysis
  • GEOG 506: Landscape Ecology
  • GEOG 585: Quantitative Methods in Geographic Research
  • GEOG 780: Seminar in Landscape Modeling and Simulation
  • Space-time dynamics and mechanisms of complex human-environment systems
  • Hazard-disaster analysis for improved environmental planning, management, and recovery
  • Environment-health relationships
  • Landscape ecology: concepts, methods, and applications in environmental management, planning, and conservation
  • Complexity theory and its applications in complex human-environment systems
  • Changes in city morphology and city residents
  • Digital, 4-D holographic methodology (including geoComputation, visualization, space-time analysis, micro-level modeling, and 4-dimesional simulation)
  • Quantitative analysis/modeling methods, metrics, and tools