Mapping Large Spatial Flow Data with Hierarchical Clustering
Track: Education and Training
Authors: Diansheng Guo, Xi Zhu
It is challenging to map large spatial flow data due to the problem of occlusion and cluttered display.In this research, we developed a flow clustering method that extracts clusters of similar flows to avoid the cluttering problem, reveal abstracted flow patterns, and meanwhile preserves data resolution as much as possible. To assess the quality and fidelity of flow clusters and flow maps, we carry out a case study to analyze a data set of 243,850 taxi trips within an urban area.