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Combing search techniques and stand visualization to explore and analyze forest inventory databases

Authors

Jeremy Wilson

 

Abstract

Computer searching techniques used in combination with a three-dimensional forest visualization program provide an efficient method for exploring and analyzing large forest inventory databases. This paper describes and demonstrates a three-stage approach that combines visualization and searching tools. Using this technique, users can subset and rank stands according to filter and search criteria, refine and evaluate highly ranked stands using stand visualization, and finally evaluate summary statistics for the selected set of highly ranked stands. The approach can be used for objectives that range from facilitating basic exploration of inventory information to conducting analysis on forestry databases. Combining searching techniques and visualization places substantial responsibility for quality of the analysis on the user; however, the inherent transparency of the analysis makes it easy to judge whether the evaluation is applicable and meaningful to the questions being explored.
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NSF EPSCoR The University of Maine EPSCoR Department of Energy
This project is supported by the National Science Foundation under Grant No. EPS-0554545 This project is supported by the Department of Energy EPSCoR program under award number DE-FG02-07ER46373