CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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This thesis focuses on aspects of the spatial visual design of abstract information presented as computer-generated. dynamic and interactive images accessible through flat displays. The process of spatial visualization design is shaped by various factors including interactive, perceptual, navigational as well as organizational and metaphorical aspects and as such requires an interdisciplinary approach. Therefore, in researching spatial visual design. it is crucial to use methods facilitating the process of sharing competencies among different disciplines.
In this thesis, we introduce a new classification model accommodating features important in designing effective spatial visualizations of abstract information. To enhance the effectiveness of spatial visualization, this model offers a holistic approach in classifiying spatial Visualization features. As part of the model, we analyze properties already used in architectural representation and other visual design disciplines for spatial presentations as well as investigate their potential usage in digital domains of abstract information. The process of spatial visualization In the digital environment is mostly based on the practical experience of a designer. and therefore the majority of spatial design know-how is heuristic in nature. Based on this assumption, we present a set of guidelines addressing the general problem of spatial design.
The Spalial Design Classificahon Model, Visual Spatial Properties and Spatial Design Guidelines build an extendable infrastructure which becomes a first step towards augmenting the quality of spatial information design- We propose to use this infrastructure as a general blueprint for structuring the exchange of expertise in Interdisciplinary problem-solving processes.
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