GFZ Data Services

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Slivisu: A visual analytics tool to validate simulation models against collected data

Cite as:

Unger, Andrea; Rabe, Daniela; Klemann, Volker; Eggert, Daniel; Dransch, Doris (2018): Slivisu: A visual analytics tool to validate simulation models against collected data. V. 1.0.0. GFZ Data Services. http://doi.org/10.5880/GFZ.1.5.2018.007

Status

I   N       R   E   V   I   E   W : Unger, Andrea; Rabe, Daniela; Klemann, Volker; Eggert, Daniel; Dransch, Doris (2018): Slivisu: A visual analytics tool to validate simulation models against collected data. V. 1.0.0. GFZ Data Services. http://doi.org/10.5880/GFZ.1.5.2018.007

Abstract

The validation of a simulation model is a crucial task in model development. It involves the comparison of simulation data to observation data and the identification of suitable model parameters. SLIVISU is a Visual Analytics framework that enables geoscientists to perform these tasks for observation data that is sparse and uncertain. Primarily, SLIVISU was designed to evaluate sea level indicators, which are geological or archaeological samples supporting the reconstruction of former sea level over the last ten thousands of years and are compiled in a postgreSQL database system. At the same time, the software aims at supporting the validation of numerical sea-level reconstructions against this data by means of visual analytics.

Dataset Contact

  • Eggert, Daniel; GFZ German Research Centre for Geosciences, Potsdam, Germany;

Keywords

visual analytics, visual exploration, simulation models, simulation data, comparison of simulation and observation data

GCMD Science Keywords

More Metadata

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        • subject: comparison of simulation and observation data
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      • descriptions
        • description (descriptionType=Abstract): The validation of a simulation model is a crucial task in model development. It involves the comparison of simulation data to observation data and the identification of suitable model parameters. SLIVISU is a Visual Analytics framework that enables geoscientists to perform these tasks for observation data that is sparse and uncertain. Primarily, SLIVISU was designed to evaluate sea level indicators, which are geological or archaeological samples supporting the reconstruction of former sea level over the last ten thousands of years and are compiled in a postgreSQL database system. At the same time, the software aims at supporting the validation of numerical sea-level reconstructions against this data by means of visual analytics.
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        • Dataset_Title: Slivisu: A visual analytics tool to validate simulation models against collected data
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        • Dataset_Publisher: GFZ Data Services
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      • Keyword: simulation models
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      • Keyword: comparison of simulation and observation data
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      • Summary
        • Abstract: The validation of a simulation model is a crucial task in model development. It involves the comparison of simulation data to observation data and the identification of suitable model parameters. SLIVISU is a Visual Analytics framework that enables geoscientists to perform these tasks for observation data that is sparse and uncertain. Primarily, SLIVISU was designed to evaluate sea level indicators, which are geological or archaeological samples supporting the reconstruction of former sea level over the last ten thousands of years and are compiled in a postgreSQL database system. At the same time, the software aims at supporting the validation of numerical sea-level reconstructions against this data by means of visual analytics.
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Files

License: GNU General Public License, Version 3, 29 June 2007, Copyright Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences