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@GeoDI-Lab

GeoDI Lab@UMN Twin Cities

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The Geospatial Data Intelligence (GeoDI) Lab is a research group at the University of Minnesota, Twin Cities. We aim to generate both theoretical and actionable insights from spatiotemporal information by exploring the frontiers that bridge:

  • Geospatial analytics
  • Artificial intelligence
  • Human-environment systems

Integrated thinking and cross-disciplinary approaches are combined to facilitate Intelligent Spatial Analytics and Geographic Knowledge Discovery. Applications focus on the human-environment complexities within urban dynamics, human mobility, air pollution, transportation, public health, socioeconomics, sustainability, location business, and many more.

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  1. cedgan-interpolation cedgan-interpolation Public

    Jupyter Notebook

  2. SRGCNN SRGCNN Public

    Jupyter Notebook 1

  3. IIDS-Inferring_Interactions_from_Distribution_Snapshots IIDS-Inferring_Interactions_from_Distribution_Snapshots Public

    Jupyter Notebook

  4. CFEP-Collective_Flow-Evolutionary_Pattern CFEP-Collective_Flow-Evolutionary_Pattern Public

    Jupyter Notebook 2

  5. HyGCN HyGCN Public

    Python 25 1

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