Identifying Topical Hot Spots in Urban Areas

A generic framework using OpenStreetMap and DBSCAN Spatial Clustering to Capture the most hyped urban areas

In this article, I show a quick and easy-to-use methodology that is capable of identifying hot spots for a given interest based on Point of interest (POI) collected from OpenStreeetMap (OSM) using the DBSCAN algorithm of sklearn. First, I will collect the raw data of POIs belonging to a couple of categories that I found on ChatGPT, and …

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