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Decoding Spaces Components for Grasshopper (Rhino)

Decoding Spaces Components is a set of spatial analysis components for Grasshopper (a parametric modeling plugin for Rhino 3D). It provides a graph-analysis for segment maps and different visibility analysis methods (Isovists, Isovist Fields and Visibility Graphs).

 

Team:
Martin Bielik, Sven Schneider, Reinhard König
in cooperation with the chair Computer Science in Architecture (Prof. Dr. Donath).

 

Segment Analysis:

The Graph-Components allow to generate graphs from line-drawings and analyse these graphs according to familiar graph-measures. The line-drawings are interpreted as segment maps using the Filter Geometry Component. The derivable graph measures are closeness centrality and betweenness centrality (in Space Syntax terminology: integration and choice). The measures can be calculated for different radii to consider differences in mobility ranges of different actors (pedestrian, car).

 

Isovist Analysis:

The Isovist component allows to generate isovists-polygons from given vantage points. Measures like Area, Perimeter, Compactness and Occlusivity are additional outputs.

 

Isovist Fields (GPU-accelerated):

The IsovistField-Component calculates Isovist-Measures (Area, Perimeter, Compactness, Occlusivity, MinRadial, MaxRadial) for a given set of points.

 

Visibility Graph Analysis:

The Visibility Graph Component generates a bidirectional graph based on a set of points and obstacle lines. It calculates the total depth for all nodes. The video shows the Visibility Graph Component at around 1:45. At around 3:15 it is demonstrated how it can be used to create circulation diagrams by using the mid-point of doors as graph-nodes.

 

Compatibility:

Windows
Requires Rhino 5.0 and Grasshopper v. 0.9.0006 or higher
(Some functionalities are supperted only by nVidia Graphic cards)

 

Download:

Decoding Spaces Components for Grasshopper

 

Publications:

Schneider, S., Bielik M. & Koenig R. (2012).  Parametric Exploration of Spatial Properties - Coupling parametric geometry modeling and graph-based spatial analysis. Proceedings of the Symposium on Simulation for Architecture and Urban Design (SimAUD), Orlando, Florida.

Bielik, M., Schneider S. & Koenig R. (2012).  Parametric Urban Patterns - Exploring and integrating graph-based spatial properties in parametric urban modelling. Proceedings of the 30th International Conference onEducation and research in Computer Aided Architectural Design in Europe (eCAADe), Prague, Czech Republic.

 

Contact:

info@decodingspaces.de