2008/06/24 by Xia Li, M.J. Kraak · 1 citation
Computer Science · Social Sciences · Engineering · #Data Visualization and Analytics #Geographic Information Systems Studies #Data Management and Algorithms #Timeline #Granularity #Representation (politics) #Computer science #Space time #Visualization #Visual analytics #Spacetime #Data visualization #Temporal database #External Data Representation #Space (punctuation) #Data mining #Analytics #Data science #Artificial intelligence #Geography #Engineering
paper · doi:10.1179/000870408x311387
openalex publication_date 2008/06/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Today's data-rich environment creates its own problems since exploring and analysing vast volumes of spatio–temporal data have become increasingly difficult. It is suggested to approach this problem not only via location–space or attribute–space as is traditionally done in GIScience, but also via time–space. This time-visualisation approach considers the data, the user tasks and the visualisation representations, and aims to improve accessibility, exploration and analysis of huge amounts of geo-data to support geovisual analytics. To reach this objective, the time wave as the temporal visual representation is introduced. The time wave combines the strengths of both the timeline and the time wheel and as such is able to represent linear and cyclic time simultaneously, even at different levels of granularity. The time wave can be used in its role as temporal reference system, as temporal data representation tool, and as temporal interaction tool. It functions in combination with other graphic representations that are typical for location–space and attribute–space.