Spatial Positioning Analysis
The project aim was to develop forms of analysing spatial arrangements in interior spaces and specifically in working and office environments. The space syntax tools used by the group at the KTH School of Architecture for this purpose were developed for the urban scale and hence proved insufficient for the analysis of office spaces.
The current project extends previous work started by Pablo Miranda and Henrik Markhede at KTH and is based on analysing not overall spatial properties (such as visual integration, for example) but specific relations of places and positions in space. These positions can be workstations, office rooms, meeting rooms, coffee machines or other office equipment, or in general any place in a building that one may want to relate to other places.
The form of analysis, based on clustering methods used in the analysis of social networks, product placement or genetics, can also be extended to urban scale, if one would like to visualise for example the clustering of retail spaces or other functions and activities, and how these group together according to distance or mutual accessibility.
01. Floor clusters - shortest distance algorithm
02. Angular clustering paths
03. Angular clustering
04. Metric clustering
