mszell/geospatialdatascience

Course materials for: Geospatial Data Science

Jupyter NotebookHTMLPythonpythondata-scienceopenstreetmapgeospatialgisgeospatial-datateaching-materialsstreet-networksgeospatial-analysisosmnxgeospatial-visualization
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Course materials for: Geospatial Data Science These course materials cover the lectures for the course held for the first time in spring 2022 at IT University of Copenhagen. Public course page: https://learnit.itu.dk/local/coursebase/view.php?ciid=940 Materials were slightly improved and reordered after the course. Prerequisites: Basics in data science (including statistics, Python and pandas) Ideal level/program: 1st year Master in Data Science Topics · 1. Geometric objects · 2. Geospatial data...
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