Hollenstein, DariaBleisch, Susanne2024-08-122024-08-1220212372-93332372-934110.1080/23729333.2021.1960139https://irf.fhnw.ch/handle/11654/46376https://doi.org/10.26041/fhnw-9480Gaining an overview of large spatial data sets presents a challenge common to various domains. 'Overviewing' spatial data involves viewing different areas of focus and context at different scales and requires access to detail from zoomed-out views. Standard pan and zoom interfaces provide limited support with this. Motivated by the application scenario of flood risk monitoring, we extend pan and zoom affordances with a combination of focus+context techniques and multiple maps to support 'overviewing' spatial data with a graph-like information structure. A combination of transient overlays to preview context-on-demand as well as detail-on-demand with the option to decouple additional maps enables fast navigation through the graph-like information space. User-created and -positioned, resizable multiple maps allow for simultaneous exploration of distant regions at flexible scales. The seamless integration of these concepts and the versatility of its components allow for continuously adaptable, user-defined layouts that support various analysis situations. We present a prototype implementation of this interaction model and illustrate its working in application to a hydrometric network, but we believe the model could be transferred to graph-like data in other domains.enGeographic visualizationVisual analytics supportInteraction modelFocus+contextMultiple linked views600 - Technik, Medizin, angewandte Wissenschaften01A - Beitrag in wissenschaftlicher Zeitschrift