MAR-E1032 - Digital Landscape Architecture and Urbanism, Studio D, 04.03.2021-27.05.2021
This course space end date is set to 27.05.2021 Search Courses: MAR-E1032
Skill Building Assignment 2: From Patterns to Systems
Familiarize
yourself with the topic of “dynamic patterns“ by looking into the book: Dynamic
Patterns Visualizing Landscapes in a Digital Age, Karen M’Closkey and Keith
VanDerSys
Step one > get inspired by the work of Bradley Cantrell on Creating living infrastructures :
Afterwards dive into the topic of dynamic patters: watch the lecture of Karen M’Closkey:
Step two > share the most important findings of the assigned chapter, feel free to add other relevant references > Create a miro poster of your findings, questions, references, links…
Group 1: Chapter 1 > Topological Patterns
Group 2: Chapter 2> Behavioural Patterns
Group 3: Chapter 3 > Ornamental Patterns
Group 4: Chapter 1 > Topological Patterns
Step three > each group should select 2 images of patterns in relation to their assigned topic (this task is not in relation to themes of step two). For each of the pattern you should analyse the rules of the relationships forming the pattern. Which parameters are interacting? How are they informed? How is the pattern relating to your topic. > This material (diagrams) should be presented as a second poster on the miro boards.
Step four > Computational task > Based on the rules of the relationships identified in step three, interpret your chosen patterns formally in a grasshopper script. Your only guidelines are that the script must investigate the system behind your chosen patterns and have some output. The output can be of any digital format eg. raster image, vector geometry, audio etc. The following are a list of challenges, to consider when pursuing this task. The following list is meant as a checklist list of open challenges to consider when thinking about the computational task. Ticking more items in the list will generally increase the effort required to control your system, so aim to focus on the points that are applicable to your case rather than attempting to incorporate all.
o The script uses either the data you collected earlier or other chosen data to inform your output.
o The script merges two (or more) datasets to inform the output.
o The script generates the output from the propagation of identified rules.
o The script simulates time, by showing change over time.
o Explore the design space of the script and show interesting instances.
o Modifying the base data or the base geometry is reflected in a meaningful change in the output, showcase this.
o Distinguish between
the internal rules of the system and how these interact to form the output.
Kindly upload any scripts, data and reference files in relation to the computational task here. All work for tasks 1, 2, 3 should be only presented on the group's miro board.