Paper
28 February 2000 Using visualization for teaching
Octavio H. Juarez-Espinosa, Christopher L. Hendrickson, James H. Garrett Jr.
Author Affiliations +
Proceedings Volume 3960, Visual Data Exploration and Analysis VII; (2000) https://doi.org/10.1117/12.378883
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
This paper describes a set of visualization techniques that will support the training of environmental economic input- output life-cycle assessment (EIO-LCA) users. EIO-LCA is a software tool used to estimate the environmental effects of any product throughout the course of its life. The process of estimating the environmental effects of a product using the EIO-LCA software prototype consists of the following steps: problem formulation, computations, and results analysis. Empirical software evaluation has shown that user solutions to EIO-LCA problems yield large variability; therefore, users need to have a clear understanding of the model, and they need to be trained. Instead of using only long tutorial documents and tables to train the user to use the data sources, we have designed a software tool that uses visualization tools to train users in the problem formation and data analysis tasks. For the problem-formulation task, the coloring matrices will allow users to better understand the economic data used. Also, treemaps are included so users can evalute the relationships between different levels of aggregation used in the problem formulation. Treemaps were used to allow users to understand both the direct and indirect effects in the result analysis.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Octavio H. Juarez-Espinosa, Christopher L. Hendrickson, and James H. Garrett Jr. "Using visualization for teaching", Proc. SPIE 3960, Visual Data Exploration and Analysis VII, (28 February 2000); https://doi.org/10.1117/12.378883
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Visualization

Industrial chemicals

Prototyping

Visual analytics

Bioalcohols

Computer programming

Data analysis

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