Open datasets, tools, and resources developed for research and public use.
Processed hypergraph data for urban spatial analysis, representing complex relationships between locations, businesses, and social activities in metropolitan areas.
Python toolkit for hypergraph analysis and visualization, designed for researchers working with complex network data. Includes algorithms for hypergraph construction, analysis, and interactive visualization.
Reusable visualization templates for research, providing standardized approaches to common data visualization tasks in urban analytics and network science.