Visual Analysis of Spatial Time Series

Problem

Spatial time series refer to (uni- or multivariate) time series that exist at various points in space. Examples include regional precipitation forecasts, air quality sensors in a city or vehicle counters along a road. Visual analysis of such data is necessary to learn more about the observed phenomenon (e.g., traffic), but the spatiotemporal nature of it makes this difficult.

Aim

Collect papers that present visualizations or visual analysis tools for this data type and categorize them systematically. Your STAR should include supported analysis tasks, visualization strategies and data mining algorithms (if applicable).

Other information

Some starting pointers:

Contact

Further information

Area
Visual Analytics (VA)
English
Scope
SE
Status
open