Such advantages must be carefully balanced against the increased time to create and parameterize the rules and the sometimes stylistic or approximate models created coming from more traditional workflows, CityEngine’s pipeline can be initially overwhelming. Additionally, this rule-based approach means that large design spaces can be explored quickly, interactively, and analytically compared. The rule-based core of Esri’s CityEngine has some unique advantages: Huge cities can be created as easily as small ones, while the quality of the models is consistent throughout. Typical applications include processing 2D urban cartographic geographic information system (GIS) data to create a detailed 3D city model, creating a detailed visualization of a proposed development, or exploring the design space of a potential project. It offers a flexible pipeline to transform 2D data into 3D urban models.
This course will provide students with an overview of current developments, details different workflows that are available, and provides hands-on experiences with 3D modeling and VR technologies.CityEngine is a rule-based urban modeling software package. The combination of iVR and automated 3D modeling enables models of real-world places to be integrated within data visualization workbenches. We are witnessing a paradigm shift which enables new methods of environmental decision making from urban planning to climate change. VR and 3D modeling are going hand in hand with the ready availability of massive amounts of environmental data (e.g., LiDAR) and efficient 3D modeling technologies (e.g., SketchUp, CityEngine), realistic immersive scenarios are easier to create than ever before. Instead of interacting with data on a 2D desktop screen, researchers and decision makers can immerse themselves in virtual environments where geospatial data are represented in intuitive, immersive, and flexible ways. Immersive technologies such as Oculus Rift, Samsung GearVR, HTC Vive, are revolutionizing how places and data are viewed and analyzed.
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