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. https://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. https://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.
Authors
Unger, Andrea;GFZ German Research Centre for Geosciences, Potsdam, Germany
Rabe, Daniela;GFZ German Research Centre for Geosciences, Potsdam, Germany
Klemann, Volker;GFZ German Research Centre for Geosciences, Potsdam, Germany
Eggert, Daniel;GFZ German Research Centre for Geosciences, Potsdam, Germany
Dransch, Doris;GFZ German Research Centre for Geosciences, Potsdam, Germany
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
affiliation (affiliationIdentifier=0000-0002-8342-8947 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
affiliation (affiliationIdentifier=0000-0003-0251-4390 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
creator
creatorName (nameType=Personal): Dransch, Doris
givenName: Doris
familyName: Dransch
affiliation (affiliationIdentifier= affiliationIdentifierScheme=): GFZ German Research Centre for Geosciences, Potsdam, Germany
titles
title: Slivisu: A visual analytics tool to validate simulation models against collected data
publisher: GFZ Data Services
publicationYear: 2018
subjects
subject: visual analytics
subject: visual exploration
subject: simulation models
subject: simulation data
subject: comparison of simulation and observation data
subject (subjectScheme=NASA/GCMD Earth Science Keywords): EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION
contributors
contributor (contributorType=ContactPerson)
contributorName: Eggert, Daniel
affiliation (affiliationIdentifier= affiliationIdentifierScheme=): GFZ German Research Centre for Geosciences, Potsdam, Germany
rights (rightsURI=https://www.gnu.org/licenses/gpl-3.0.html): GNU General Public License, Version 3, 29 June 2007, Copyright Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences
CharacterString: 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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