A framework for visualizing multivariate geodata
Ariane Middel · 2007
Abstract: In urban planning, sophisticated simulation models are key tools to estimate future population growth for measuring the impact of planning decisions on urban de-velopments and the environment. Simulated population projections usually result in bulky, large-scale, multivariate geospatial data sets. Millions of records have to be processed, stored, and visualized to help planners explore and analyze complex popu-lation patterns. This paper introduces a database driven framework for visualizing geospatial multi-variate simulation data from UrbanSim, a software-based simulation model for the analysis and planning of urban developments. The designed framework is extendable and aims at integrating methods from information visualization and cartography into planning processes. 1