Title: A Visual Programming Environment for Supporting Scientific Data Analysis

Author(s): Yuhong Zhang, Matthew Ward, Nabil Hachem, and Michael Gennert, Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609

Source: Proc. of IEEE 1993 Symposium on Visual Languages (short paper), 1993.

Abstract: Our research on a conceptual model for scientific data analysis concludes that traditional computational and environmental support is insufficient. We 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. In this paper 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.

Matthew O. Ward (matt@cs.wpi.edu)