MAR-E1039 - Computational Methodologies for Landscape Architecture and Urbanism D, Lecture, 16.5.2022-20.5.2022

Topic outline

• Self-Study Material
  Grasshopper 3: Terrain modelling and grading using Docofossor

  During the self-study phase you are expected to go through the provided tutorials and reading material. Below you will find the links to the package I. During the last week of April, we will share the content of package II. Both packages are mandatory and fundamental knowledge for the workshop.

  
  

  hands-on tutorials package I - kindly provided by Prof. Christophe Girot/ETH Zurich: 

  • Rhino Basics
    
  • Rhino Basic Commands
    
  • Rhino Grasshopper - Getting Started
    
  • Rhino Grasshopper - Beginners Guide
    
  • QGIS - DTM to 3D Topography
    
  • Rhino Grasshopper Tips & Tricks
  • Overview Terrestrial Laser Scanning

  reading package I:

  • Journal of Digital Landscape Architecture: Informing Topology: Performative Landscapes with Rapid Mass Movement Simulation
  • Journal of Digital Landscape Architecture:: Shifting Sands: Experimental Robotic Earth-Moving Strategies in Dynamic Coastal Environments
    
  • Landscape Architecture Frontiers: ROBOTIC LANDSCAPES — NATURE, COMPUTATION, AND THE DESIGN SPACE OF AUTONOMOUS TERRAIN MODELING

  
  

  hands-on tutorials package II:

  • Tutorial on Terrain Flow: 
  • Tutorial on Perlin Surfac:
  • About Docofossor - a collection of landscape modeling components in 2.5D with distance functions, have a look here and here
  • Grasshopper 1:
    
  • Grasshopper 2:
  • Grasshopper 3:
    

  Basics about Rhino - check out which session is appropriate to your leve:

  • LinkedIn Learning Rhino 7 essential commands

  Basics about Grasshopper

  • LinkedIn Learning Grasshopper intro

  Basics about Unity (it is important that you have an overview of the functionalities of the interface)

  • LinkedIn Learning: Unity intro

  Highly advised in case you want to generally improve your Rhino and Grasshopper skills:

  • Algorithmic Design course playlist: > kindly provided by Luka Piskorec