Public open space spatial analysis. Extending and integrating UCL Depthmap on a python-based workflow
João Ventura Lopes (ISTAR-IUL, ISCTE-IUL)
Depthmap (Turner, Varoudis, UCL) is still the standard tool in space syntax analysis. Originally developed for syntactic visibility graph analysis, it also allows the analysis of convex, axial/segment maps, and, generally, of any graph that can have a 2D geometric expression.
This workshop pretends to demonstrate how to explore Depthmap advanced features, how it can be tailored, extended and integrated in a spatial analysis workflow that ties together spatial analysis, data science, geographic information and algorithmic design.
We pretended to show how to:
The workshop will concentrate on public open spaces, using as case studies a set of Portuguese squares’ urban settings. Nonetheless, the introduced concepts and techniques can be easily generalised to architectonic space, and participants may bring their own case studies if they wish.
No previous experience on spatial or syntactic analysis and the mentioned tools are necessary, but the workshop will run smoothly if participants are familiar to some space syntax, Depthmap software, basic python, Grasshopper or GIS from the user's perspective (not mandatory).
We propose a full day workshop (3,5 + 4,0 hours) where participants will explorer the presented concepts, tools and digital workflows mainly in a hands-on approach. The accent will be in the learning by doing, the collaboration between participants, the interactivity with the presenter and the blurring of lines between theoretical exposition and practical exercise.
Proposed Program (3,0 + 4,0 hours, full day workshop):
The tuter will bring to the workshop: