Gaining knowledge and making decisions nowadays depends more and more on the compu- tation of large quantities, in short: Big-Data. NPoche as a research-by-design project uses those reflections to transform the classical term of a Poche into a contemporary methodology that enables disciplinary access to methods of data classification. NPoche shows how classification algorithms, in the specific K-means clustering, can be used in interplay with architectural form. Multi-dimensional classification is used to sort simulations consisting of self-aggregating housing parts. Resembling Poché as indicating sameness, agglomerations were selected which formulate the same local conditions, namely access, light, open space, and ventilation: computational Poché-Space turns into a City of Sameness.
Rasa Navasaityte, Daniel Koehler with Anqi Su and Christoph Zimmel. Team Npoche: Silu Meng, Ruohan Xu, Qianying Zhou. 2017-2018.
Large City Architecture Research, B-Pro Urban Design, The Bartlett School of Architecture, UCl London.