Farmer’s Market Density Analysis with Python

This project leverages the GeoPandas package to source geospatial farmer’s market data directly from URLs and create data visualizations with custom Python code. These visualizations include point data shown on a country-wide base map, kernel density maps to visualize distribution patterns, and the use of point-in-polygon spatial join to create state-scale density maps of farmer’s markets across the US.

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Landsat Classification with Google Earth Engine

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Vacation Rental Analysis with Python