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A Decision Analysis Model for Vegetation Management

The application of business intelligence and analytics in non-conventional areas is an emerging research paradigm. In this paper, we present a model which uses data that has been collected over a number of years for tracking plantation and managing stand development. The data exists as legacy reports in the form of simple tables, line charts and scatter graphs which do not provide any strategic or intuitive insights. Despite the fact that this data was never collected for this purpose, we have used online analytical processing (OLAP) techniques to transform this data for querying, reporting and visual presentation on dynamic dashboards. The proposed model links regenerated stands under various operational conditions with realistic long-term growth and yield predictions.