DocumentCode :
2018536
Title :
Reviewing the role of visualization in communicating and understanding forest complexity
Author :
Meitner, Michael J. ; Gandy, Ryan ; Sheppard, Stephen R J
Author_Institution :
Dept. of Forest Resources Manage., British Columbia Univ., Vancouver, BC, Canada
fYear :
2005
fDate :
6-8 July 2005
Firstpage :
121
Lastpage :
128
Abstract :
In recent years, we have seen a great deal of expansion in our knowledge of forest ecosystems and the underlying management dimensions that support decision-making in this context. Forestry, much like other natural resource management disciplines, is faced with the challenge of integrating information from many different perspectives often with limited understanding of the basic principles of the multitude of specialized fields from which they are generated. This problem is only exacerbated when reviewing management options with diverse stakeholders such as statutory decision makers and the general public. This paper suggests that 3D visualizations can aid in mitigating these difficulties of communication and understanding forest complexity. Methods of visualizing forestry data hold promise in clarifying complex spatial and temporal relationships, for experts and lay people alike. This paper reviews issues of complexity raised by today´s demand for sustainable forest management, and the potential of 3D visualization to address these issues, drawing on past and current research on visualization effectiveness and validity. Ultimately, the goal of this work is to develop effective visualization methodologies to expand our ability to explore, critique, and understand forestry data. Our hope is that this supports knowledge discovery and diffusion to effected communities in the face of underlying data complexity and often, a limited familiarity with the concepts and principles of forest management.
Keywords :
data mining; data visualisation; decision making; ecology; forestry; 3D visualization; data complexity; forest complexity; forest ecosystem; forest management; forestry; knowledge diffusion; knowledge discovery; natural resource management; statutory decision making; Collaboration; Data visualization; Decision making; Ecosystems; Environmental management; Forestry; Knowledge management; Land use planning; Resource management; Technology planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation, 2005. Proceedings. Ninth International Conference on
ISSN :
1550-6037
Print_ISBN :
0-7695-2397-8
Type :
conf
DOI :
10.1109/IV.2005.110
Filename :
1509068
Link To Document :
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