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• W2017494612 abstract "Climate research produces a wealth of multivariate data. These data often have a geospatial reference and so it is of interest to show them within their geospatial context. One can consider this configuration as a multi field visualization problem, where the geospace provides the expanse of the field. However, there is a limit on the amount of multivariate information that can be fit within a certain spatial location, and the use of linked multivari ate information displays has previously been devised to bridge this gap. In this paper we focus on the interactions in the geographical display, present an implementation that uses Google Earth, and demonstrate it within a tightly linked parallel coordinates display. Several other visual representations, such as pie and bar charts are integrated into the Google Earth display and can be interactively manipulated. Further, we also demonstrate new brushing and visualization techniques for parallel coordinates, such as fixedwindow brushing and correlationenhanced display. We conceived our system with a team of climate researchers, who already made a few important discov eries using it. This demonstrates our system’s great potential to enable scientific discoveries, possibly also in oth er domains where data have a geospatial reference." @default.
• W2017494612 created "2016-06-24" @default.
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• W2017494612 date "2013-04-01" @default.
• W2017494612 modified "2023-09-24" @default.
• W2017494612 title "An interactive visual analytics framework for multi-field data in a geo-spatial context" @default.
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• W2017494612 doi "https://doi.org/10.1109/tst.2013.6509095" @default.
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