Toward a Design Space for Embedded Urban Data Visualizations

Keywords

Situated Visualization, Urban Data, Framework.

Abstract

We propose a design space for embedded data visualizations in urban environments, structured across multiple dimensions that articulate key contextual and representational characteristics. The design space is grounded in situated and immersive visualization theory, urban informatics, and co-creative ideation workshops. Its dimensions describe different aspects of how data visualizations relate to the physical urban environment and to the viewer. We illustrate the applicability of the design space using mappings to speculative embedded urban visualizations. This conceptual contribution is intended to support designers and researchers in structuring, analyzing, and generating embedded urban visualizations, and serves as a basis for future extensions.