NeighborVis is a visual analytics system of geospatial-semantic event data in localized neighborhoods within a larger city, town, suburb or rural area. The geospatial-semantic event data, consists of geospatial, time, and semantic dimensions, which forms a large part of the important information people deal with for business, personal and administrative use. NeighborVis can greatly help users from multiple sectors including business, finance, public services, social research, and local governments by leveraging the advanced computation and visualization capabilities to utilize their large, complex, and rapidly accumulating community data.

Funded by US National Science Foundation, this system is fully open source. Contact Ye Zhao ( or Xinyue Ye ( for any questions or comments