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Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society,(More)
Information visualization is an interdisciplinary research area in which cartographic efforts have mostly addressed the handling of geographic information. Some cartographers have recently become involved in attempts to extend geographic principles and cartographic techniques to the visualization of non-geographic information. This paper reports on current(More)
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Methods for interactive map animations are still in an early stage compared to more traditional cartography, and the potentials for improvements are significant. This paper focuses on better design for map animations, particularly for the portrayal of the information regarding the temporal dimension. A series of animations are presented and discussed and(More)
An exponentially growing volume of digital information makes extraction of relevant items increasingly difficult. This article documents the adoption of information visualization tools by researchers in the disciplines of geography, computer science, and information science to facilitate exploration of very large data archives. Graphic depiction of database(More)
Spatializations are computer visualizations in which nonspatial information is depicted spatially. Spatializations of large databases commonly use distance as a metaphor to depict semantic (nonspatial) similarities among data items. By analogy to the " first law of geography " , which states that closer things tend to be more similar, we propose a " first(More)
Supported by eye-movement data collected during a controlled experiment on small-multiple map displays, a new concept coined inference affordance aimed at overcoming drawbacks of traditional empirical 'success' measures when evaluating static visual analytics displays and interactive visual analytics tools is proposed. Then, a novel visual analytics(More)
Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two techniques for simplified visualization of such data sets using edge bundles. The first technique uses an efficient image-based bundling method to create smoothly changing bundles from streaming graphs. The second technique adds edge-correspondence data atop(More)
Visual analytics is often based on the intuition that highly interactive and dynamic depic-tions of complex and multivariate databases amplify human capabilities for inference and decision-making, as they facilitate cognitive tasks such as pattern recognition, association, and analytical reasoning (Thomas and Cook 2005). But how do we know whether visual(More)