Interactive design of urban spaces using geometrical and behavioral modeling
ACM SIGGRAPH Asia 2009 papers
Vectorization of gridded urban land use data
Proceedings of the 2010 Workshop on Procedural Content Generation in Games
Synthesizing high fidelity 3D landscapes from GIS data
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
I3D '11 Symposium on Interactive 3D Graphics and Games
Components for parametric urban design in Grasshopper from street network to building geometry
Proceedings of the 2011 Symposium on Simulation for Architecture and Urban Design
Environmental Modelling & Software
Procedural Generation of Parcels in Urban Modeling
Computer Graphics Forum
Constructing the virtual Jing-Hang Grand Canal with onto-draw
Expert Systems with Applications: An International Journal
An open source simulation-based approach for neighbourhood spatial planning policy
Proceedings of the Winter Simulation Conference
Neighborhood relation diagrams for local comparison of carbon footprints in urban planning
Information Visualization
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Urban simulation models and their visualization are used to help regional planning agencies evaluate alternative transportation investments, land use regulations, and environmental protection policies. Typical urban simulations provide spatially distributed data about number of inhabitants, land prices, traffic, and other variables. In this article, we build on a synergy of urban simulation, urban visualization, and computer graphics to automatically infer an urban layout for any time step of the simulation sequence. In addition to standard visualization tools, our method gathers data of the original street network, parcels, and aerial imagery and uses the available simulation results to infer changes to the original urban layout and produce a new and plausible layout for the simulation results. In contrast with previous work, our approach automatically updates the layout based on changes in the simulation data and thus can scale to a large simulation over many years. The method in this article offers a substantial step forward in building integrated visualization and behavioral simulation systems for use in community visioning, planning, and policy analysis. We demonstrate our method on several real cases using a 200 GB database for a 16,300 km2 area surrounding Seattle, Washington.