Abstract
Exploration of multifield geoscientific data sets is a complex task involving the investigation of individual fields and correlations between fields. We present an approach to analyze the importance of fields and their correlations in multifield datasets by treating given or derived fields as multidimensional objects and projecting these objects to a 2D space, and visually investigating the fields using the projected layout. We demonstrate how our approach supports the analysis of atmospheric simulation data in two different settings.
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Data courtesy of Christian Stepanek and Gerrit Lohmann from Alfred-Wegener Institute Helmholtz Centre for Polar and Marine Research in Bremerhaven, Paleoclimate Dynamics research group.
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Acknowledgements
Data courtesy of Christian Stepanek and Gerrit Lohmann from the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research in Bremerhaven, Paleoclimate Dynamics research group is greatfully acknowledged.
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Antonov, A., Linsen, L. (2015). Visual Analysis of Relevant Fields in Geoscientific Multifield Data. In: Lohmann, G., Meggers, H., Unnithan, V., Wolf-Gladrow, D., Notholt, J., Bracher, A. (eds) Towards an Interdisciplinary Approach in Earth System Science. Springer Earth System Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-13865-7_23
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DOI: https://doi.org/10.1007/978-3-319-13865-7_23
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