A visual programming environment for supporting scientific data analysis
Y. Zhang, Matthew Ward, N. HACHEM, Michael A. Gennert · 2002
The authors research on a conceptual model for scientific data analysis concludes that traditional computational and environmental support is insufficient. They believe an integrated system that provides users with the ability to manage data, processes, and experiments as well as program data analysis tasks is necessary. The development of GaeaVE, a visual environment for a scientific database management system for global change research, is described. The components of the environment consist of a browser, a visual language editor for processes and experiments, and a data viewer.>