Module 2 — Space
Published in
3 min readFeb 16, 2022
Module #2 — Building an Urban Digital Twin
A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making.
For the space module, we will create a data-rich urban context model intended as a digital representation of the physical world. The aim of this assignment is to allow you to immerse in modeling with spatial data and performing analysis in Grasshopper.
Due Date: Mar 02
Modules
- Grasshopper (Computational Modeling)
- Urbano (Spatial Data Processing, OpenStreetMap Integration)
- Decoding Spaces (Network Analysis)
Post
submit your post to the class publication by Mar. 02 (Weds) before class and include the following:
- A Catchy Title + Authors Name
- A short description of the digital twin that you’ve created. Include basic information such as location, extent, and the reason why you’ve chosen the site.
- A “data visualization” of your digital twin — create a visually compelling image of your digital twin model. Experiment with both data visualization as well as post-processing techniques.
- Analysis Breakdown — base on in-class workshop, briefly explain the specific analysis incorporated into this digital twin. In this section and in the visualization, highlight one insight based on the analysis of your site. (Ex. Wide roads offer greater visibility but higher traffic noise)
- Data Sources — as always, list all your data sources for your reference in the future!
Inspiration
