In addtion, attention is given to design of interactive interfaces that make implementation of these methods possible. The remit for Project Argus is to promote Visualization in the Spatial Sciences. The project members have identified a matrix of visualization techniques which can be applied to a series of data types. The application of technique to data type is being demonstrated by combining diverse data sets with existing visualization software, and developing new software. This is equally, if not more, important for navigating virtual worlds and referencing information from the real world.
Scientific visualization is an important tool for environmental research.
By representing numerical data in a visual format, scientific visualization allows environmental scientists and analysts to better understand the results of their research and to effectively convey those results to others. Click here for an introduction and image associated with this project. The Apoala Project Environmental risk assessments and decision support for ecosystem management requires the integration and analysis of large volumes of data derived from both models and direct measurement of the environment. The objective of the research being initiated is to design, implement, and assess a high performance computing prototype that can cope with spatiotemporal data and multiscale analysis. Specifically, a prototype Temporal Geographic Information system with integrated multivariate spatiotemporal visualization capabilities.