TY - CONF

T1 - Interactive Visual Analytics of Coastal Oceanographic Simulation data

AU - George, Richard

AU - Robins, Peter

AU - Davies, Alan

AU - Roberts, Jonathan C.

PY - 2012/10/14

Y1 - 2012/10/14

N2 - Oceanographic simulations typically generate large volumes of unstructured, multi-resolution and spatiotemporal data. Current datasets contain gigabytes of data per time step and include multiple variables. As the complexity and size of the dataset increases, so do the need for tools that can help with the analysis. To this goal weare developing Vinca, (Visualization environment for coastal analysis) a multiple coordinated view system that utilizes a parallel coordinate plot (PCP) view to display all the data variables, which is linked to other temporal and spatial views.

AB - Oceanographic simulations typically generate large volumes of unstructured, multi-resolution and spatiotemporal data. Current datasets contain gigabytes of data per time step and include multiple variables. As the complexity and size of the dataset increases, so do the need for tools that can help with the analysis. To this goal weare developing Vinca, (Visualization environment for coastal analysis) a multiple coordinated view system that utilizes a parallel coordinate plot (PCP) view to display all the data variables, which is linked to other temporal and spatial views.

KW - Visual analytics

KW - oceanographic visualisation

KW - parallel coordinate plots

KW - Visualisation

KW - Scientific visualisation

KW - information visualisation

KW - big data

KW - simulation

KW - Vinca visualisation environment

UR - https://ldav.org/2012/

M3 - Paper

T2 - IEEE Symposium on Large-Scale Data Analytics and Visualization

Y2 - 14 April 2012 through 15 April 2012

ER -