A visual analytics tool to validate simulation models against collected data. V. 1.0.0.

Unger, Andrea, Rabe, Daniela, Klemann, Volker, Eggert, Daniel and Dransch, Doris (2018) A visual analytics tool to validate simulation models against collected data. V. 1.0.0. Open Access DOI 10.5880/GFZ.1.5.2018.007.

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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.

Document Type: Software
Additional Information: License GNU General Public License, Version 3, 29 June 2007, Copyright Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences
Keywords: visual analytics; visual exploration; simulation models; simulation data; comparison of simulation and observation data; Earth science services - data analysis and visualization
Publisher: GFZ Data Services
Related URLs:
Projects: PalMod in-kind
Date Deposited: 17 Apr 2020 07:27
Last Modified: 17 Apr 2020 07:30
URI: https://oceanrep.geomar.de/id/eprint/49496

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