StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data
Sanjana Srabanti, G. Elisabeta Marai, and Fabio Miranda

TL;DR
StreetWeave is a declarative grammar that simplifies the creation of customizable street-overlaid visualizations for multivariate spatial data, aiding domain experts in exploration and analysis without extensive programming knowledge.
Contribution
We introduce StreetWeave, a novel declarative grammar framework for designing flexible street-overlaid visualizations of multivariate data across multiple resolutions.
Findings
StreetWeave enables creation of diverse street-overlaid visualizations.
It facilitates multiscale spatial data exploration.
The framework is accessible to domain experts without programming skills.
Abstract
The visualization and analysis of street and pedestrian networks are important to various domain experts, including urban planners, climate researchers, and health experts. This has led to the development of new techniques for street and pedestrian network visualization, expanding how data can be shown and understood more effectively. Despite their increasing adoption, there is no established design framework to guide the creation of these visualizations while addressing the diverse requirements of various domains. When exploring a feature of interest, domain experts often need to transform, integrate, and visualize a combination of thematic data (e.g., demographic, socioeconomic, pollution) and physical data (e.g., zip codes, street networks), often spanning multiple spatial and temporal scales. This not only complicates the process of visual data exploration and system implementation…
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Taxonomy
TopicsData Visualization and Analytics · Urban Design and Spatial Analysis · Geographic Information Systems Studies
