![sharing cityengine scene data sharing cityengine scene data](https://slideplayer.com/13/4128403/big_thumb.jpg)
![sharing cityengine scene data sharing cityengine scene data](https://cdn2.unrealengine.com/Unreal+Engine%2Fblog%2Funreal-studio-brings-cityengine-neighborhood-to-life%2FBlog-body-image_real-favela-1640x1000-cca250738b17b45ceaa2ab9124ae0b9e7e398e55.jpg)
However, the idea behind these tools is to make context be provided by associating content to an individual entity either being displayed within a web map or as part of cut sheets associated with the entity. My point is that building context for a 3D urban model takes time: so much time that it is hard to justify in a project-oriented setting without a long-term interest in a certain area. However, preparing this data often involves gathering and processing aerial imagery, high-resolution terrain data, georeferenced footprints/planimetric buildings, and so on to create a complete urban model. There are great examples of how GIS data can be leveraged to create great 3D content to support transit oriented development, scenario planning efforts, or even an aviation facility's operations. The intent of these tools is to enable data-driven design on a massive scale by leveraging GIS and CityEngine in conjunction. The focus of the workflow proposed here is streets, but the scripts also support projects related to buildings/lots/zoning visualization. The content created can be used to create images as part of cut sheets (to be used with data-driven pages), or linked to web content in web maps (by providing content for pop-ups or web scenes to link to). These tools are intended to integrate GIS and CityEngine to enable the creation of large amounts of 3D content to support urban planning/geodesign projects.
#Sharing cityengine scene data series
This document discusses a series of tools that were created to enable data-driven design to support large-scale scenario planning projects.