EnvirVis 2013 - The workshop Visualization in Environmental Sciences (EnvirVis)
Date2013-06-16 - 2013-06-18
Deadline2013-03-08
VenueLeipzig, Germany
Keywords
Websitehttps://www.eurovis2013.de/
Topics/Call fo Papers
The workshop Visualization in Environmental Sciences (EnvirVis) is a co-event of EuroVis 2013 and invites both contributions in the fields of scientific visualization and visual data integration with a broad application area in environmental research.
Scope
Researchers in environmental sciences are faced with tremendously heterogeneous data sets, ranging in spatial scales from micrometers to thousands of kilometers and varying on time scales from milliseconds to millions of years. Typically, the original data as well as the results of numerical simulations are 3-D or 4-D data sets, such as seismic tomography images of the Earth’s interior, finite-element models of mantle convection, models of geological structures, complex soil and groundwater systems, and nuclear waste repositories in the geological subsurface or processes in the atmosphere (Billen et al. 2008). Due to the technical progress of monitoring devices as well as supercomputers, data sets are becoming more and more complex ? called “big data”. This makes scientific visualization indispensable for the analysis of large numbers of integrated data sets or uncertainties in high-resolution numerical models. The scientific ‘‘market’’ for visual data exploration is increasing as more and more visualization facilities become available to environmental research. This, in turn, encourages the development of scientific software specific to the visualization of environmental data. Such frameworks are also very well suited for educational and outreach purposes.
Addressed areas for visualization studies:
Geosciences
Hydrology
Soil and Groundwater Research
Climate Research
Waste management
Biodiversity
Scope
Researchers in environmental sciences are faced with tremendously heterogeneous data sets, ranging in spatial scales from micrometers to thousands of kilometers and varying on time scales from milliseconds to millions of years. Typically, the original data as well as the results of numerical simulations are 3-D or 4-D data sets, such as seismic tomography images of the Earth’s interior, finite-element models of mantle convection, models of geological structures, complex soil and groundwater systems, and nuclear waste repositories in the geological subsurface or processes in the atmosphere (Billen et al. 2008). Due to the technical progress of monitoring devices as well as supercomputers, data sets are becoming more and more complex ? called “big data”. This makes scientific visualization indispensable for the analysis of large numbers of integrated data sets or uncertainties in high-resolution numerical models. The scientific ‘‘market’’ for visual data exploration is increasing as more and more visualization facilities become available to environmental research. This, in turn, encourages the development of scientific software specific to the visualization of environmental data. Such frameworks are also very well suited for educational and outreach purposes.
Addressed areas for visualization studies:
Geosciences
Hydrology
Soil and Groundwater Research
Climate Research
Waste management
Biodiversity
Other CFPs
- Workshop on Reproducibility, Verification, and Validation in Visualization
- 3rd International Workshop on Visualization in Medicine and Life Sciences 2013 (VMLS 2013)
- fourth international Eurovis workshop on visual analytics
- Visual Analytics using Multidimensional Projections Workshop
- 2nd International Workshop on Similarity-Based Pattern Analysis and Recognition
Last modified: 2012-12-14 19:36:42