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Use of interactive data visualization in multi-objective forest planning.
Arto Haara1, Jouni Pykäläinen2, Anne Tolvanen3
1Natural Resources Institute Finland, P.O. Box 68, FI-80101 Joensuu, Finland.
Journal of Environmental Management
|January 15, 2018
Summary
Interactive data visualization aids multi-objective forest planning by enabling decision-makers to compare and evaluate alternatives. This approach enhances understanding and supports well-justified decisions in complex forest management scenarios.
Area of Science:
- Forestry Science
- Decision Science
- Information Visualization
Background:
- Multi-objective forest planning necessitates evaluating numerous decision alternatives.
- Effective decision-making relies on learning from presented information.
- Interactive data visualization offers a promising approach for complex, multidimensional problems.
Purpose of the Study:
- To introduce a framework for multi-objective forest planning decision problems.
- To evaluate the potential of interactive data visualization techniques in this context.
- To explore applications in ecosystem services provisioning within forest management.
Main Methods:
- Development of a multi-objective forest planning decision problem framework.
- Utilization of example planning data for evaluation.
- Assessment of 14 distinct interactive data visualization techniques.
Main Results:
- Interactive data visualization techniques were applied to a multi-objective forest planning framework.
- The study illustrated the potential of these techniques to support decision-making.
- Effectiveness of visualization in forming mental data images was highlighted.
Conclusions:
- Interactive data visualization can significantly enhance learning and decision-making in multi-objective forest planning.
- These techniques offer broad potential for integrating ecosystem services into forest management.
- Further research can explore advanced visualization applications in sustainable forestry.
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