Exploring Road Networks and Neighborhoods with OpenStreetMap

Using common clustering algorithms like Community Detection and K-Means Clustering to determine neighborhoods in Singapore using OpenStreetMap tools

Neighborhoods are places we live, work and play and have become an integral part of our identity. Neighborhoods are shaped by a variety of natural and man-made factors, which include history, culture, politics, population, and geography.

So how do we tell neighborhoods apart? Road networks may give us a clue to how communities in a society interact …

clustering data science geospatial graph maps networks openstreetmap