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

Urheber*innen
/persons/resource/unger

Unger,  A.
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/drabe

Rabe,  Daniela
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/volkerk

Klemann,  V.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/eggi

Eggert,  Daniel
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dransch

Dransch,  D.
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Zitation

Unger, A., Rabe, D., Klemann, V., Eggert, D., Dransch, D.(2018): Slivisu: A visual analytics tool to validate simulation models against collected data, Potsdam : GFZ Data Services.
https://doi.org/10.5880/GFZ.1.5.2018.007


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3742898
Zusammenfassung
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.