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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.
Customizes ArcGIS Pro's Create Accuracy Assessment Points tool to automatically calculate the minimum number of points required given a confidence level and optionally distributes a minimum number of points per class by combining equal stratified random and stratified random sampling methods.
Automated GIS data standardization pipeline using ArcPy: CSV to points, raster mosaicking, projection, and clipping with a reusable ArcGIS Script Tool.
This repo contains ArcGIS Pro API code snippets for our ArcGIS Pro SDK developers as a source of reference for AI assisted ArcGIS Pro Add-in development.