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A GIS project analyzing hotels and parks in Naples using Python libraries GeoPandas, Plotly Express, and Matplotlib with Contextily basemaps. Includes spatial buffers, intersection analysis, and interactive visualizations, showcasing geospatial data processing and mapping workflows.
A GIS-based assessment of Detroit’s vacant parcels revealed around 700 plots suitable for urban farming, primarily determined by soil quality and spatial proximity. The project highlights how spatial analysis supports sustainable land use and urban food security initiatives.