Search anything

Close search
Back to Programme Archive

(Archive) Algorithmic Aided Landscaping

An exploration of post-anthropocentric city building.

This project was part of DDW 2022
Epoc Iteration number 30 — © Xaarchive Studio

We believe city-making should not be a human-centered practice and that there is a lot to learn from topological formations and natural systems mediated by biological intelligence. In this series, we explore Artificial Intelligence as a form of co-authorship in large-scale projects.

Project Site: Salta, Argentina

In Landscaping, mountainous terrain is usually the opposite of highly urbanized centers. Due to its irregular terrain, high intervention costs, compact soil mass its normally one of the most expensive urban projects to develop.

How does this intertwine if we think about a mountainous land in one of the least urbanized areas of Argentina? This is how Salta drew our attention as a project site research.

Algorithmic Aided Design

We trained an artificial intelligence network [GAN] with a series of aerial images of the region of Salta, Argentina and we re-scripted the code that relates them to understand what logic emerges from these topological formations and how they could affect the construction of urban sites. This region of our home country is not yet a highly urbanized region, it rather lacks in human-made and abounds in non-human made processes. We find it particularly interesting for the development of high-intelligence low-waste projects.

Play video

Epoc Iteration number 21 — © Xaarchive Studio

Epoc Iteration number 02 — © Xaarchive Studio

Elevation of an Ai generated Landscape — © Xaarchive Studio

Landscape dataset for training, Salta, Argentina