K- Nearest Neighbor (K-NN)

K-NN is an open-source system designed to calculate K-nearest neighbors on geospatial big data. It is particularly useful for studies requiring nearest neighbor analysis, such as examining partisan segregation at the individual level for a dataset of 180 million U.S. voters. The open-source software is available on K-NN’s GitHub for community access and use.

Use-cases/Publications:

• Brown J., Enos R. “Measurement of Partisan Segregation for 180 Million US voters”, Nature Human Behaviour
• Kakkar D., Lewis B., Guan W. “Interactive analysis of big geospatial data with high-performance computing: A case study of partisan segregation in the United States”, Transactions in GIS.