A Visual Programming Environment for Supporting Scienti c Data Analysis

نویسندگان

  • Yuhong Zhang
  • Matthew Ward
  • Nabil Hachem
  • Michael Gennert
چکیده

Our research on a conceptual model for scienti c data analysis concludes that traditional computational and environmental support is insu cient. 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 scienti c data analysis process in global change research is analyzed and the development of GaeaVE, a visual environment for a scienti c 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.

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تاریخ انتشار 1993