XFlowMap is a methodology for the cross-scale generalization and mapping of massive OD data. It integrates cross-scale flow pattern (cluster) detection, automated flow map generalization, and a new cartographic representation for analyzing and visualizing complex origin-destination flow structures.
iRedistrict combines advanced spatial optimization algorithms with human expertise and interactive visualization. It enables practitioners to develop high-quality districting plans, explore alternatives, balance competing objectives, satisfy required constraints, and reflect local priorities.
RREDCAP discovers regional structure by grouping geographic areas into spatially contiguous regions with similar characteristics. Its hierarchical clustering and partitioning methods enable users to explore patterns at different scales and construct meaningful regions for spatial analysis, planning, and service delivery.
VIS-STAMP integrates computational, visual, and cartographic methods to develop a geovisual analytic approach for exploring and understanding spatio-temporal and multivariate patterns.
SOMVIS reveals complex geographic patterns by combining computational clustering with coordinated maps, colors, and interactive visualizations. It connects automated pattern discovery with human interpretation, helping users uncover relationships across many variables and understand how they vary across places.
