VIDA-NYU/UrbanMapper
Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research community!
Accumulated shadow data computed for New York City
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Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research community!
Quickly and accurately render even the largest data.
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Notebooks and documentation for AI-for-Earth-managed datasets on Azure
Notebooks and libraries for spatial/geo Python explorations
Urban-WORM (Workflow Of Reproducible Multimodal Inference) is a user-friendly high-level interface that is designed for adding rich and meaningful captions for crow-sourced data with geotags using multimodal models.