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[Webinar] Computational Analysis & Synthesis of Urban Morphology using Rhino/GH

www.tgic.io

[Webinar] Computational Analysis & Synthesis of Urban Morphology using Rhino/GH

Webinar #05

Vignesh Kaushik
Feb 1, 2018
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[Webinar] Computational Analysis & Synthesis of Urban Morphology using Rhino/GH

www.tgic.io

Introduction

In this webinar, you’ll learn how to perform a quantitative analysis of urban space using various components from the DeCodingSpaces Toolkit for Rhino/GH on a real-life project. You’ll learn how to analyze Street Networks effectively to compute real-life phenomena such as the distribution of functions in a city or the movement patterns of citizens. Finally, you’ll also be introduced to the various methods for the synthesis of urban morphology (street networks, plots, and buildings) and how they connect to the analysis methods.

You'll receive all raw files (.zip) + life-time access to the video recording.

Watch Recording Now

In 90 minutes, you'll learn:

  1. Introduction to urban analysis and synthesis methods

  2. Overview of the DeCodingSpaces-Toolbox for Rhino/GH

  3. How to use Isovist Analysis in Rhino/GH

  4. Understanding of network analysis methods

  5. How to compute shortest paths, centrality, and accessibility

  6. How to synthesize street networks, parcels, and buildings

    + Bonus PRO Tips

What is DeCodingSpaces-Toolbox?

The DeCodingSpaces-Toolbox for Grasshopper is a collection of analytical and generative components for algorithmic architectural and urban planning. The toolbox is free software released by the Computational Planning Group (CPlan) and is a result of long term collaboration between academic institutions and praxis partners across the globe with the common goal to increase the efficiency and quality of architecture and urban planning. It integrates established urban analysis methods, extend them with new features, and introduces new methods for the analysis and synthesis of urban morphology.

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[Webinar] Computational Analysis & Synthesis of Urban Morphology using Rhino/GH

www.tgic.io
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