Abstract
In this chapter, we use R to generate, examine, detect, and illuminate simulated yield tables, projections, or sets of possible future forest conditions. Our objectives are to 1) cover the major topics and tasks required to generate forest forecasts; 2) compare some common metrics from the resulting simulations; and 3) examine and present potential shortcomings and remedies for the methods presented. Our motivation is to generate simulations and combinations of simulations that can be 1) examined quickly for anomalies; 2) easily queried to answer specific questions; and 3) efficiently exported into other applications like harvest scheduling and transportation applications (Weintraub and Navon, 1976) or ecological community analysis (Oksanen et al., 2010), or linked to a geospatial database (Prayaga et al., 2009).
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© 2011 Springer Science+Business Media, LLC
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Robinson, A., Hamann, J. (2011). Simulations. In: Forest Analytics with R. Use R. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7762-5_8
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DOI: https://doi.org/10.1007/978-1-4419-7762-5_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-7761-8
Online ISBN: 978-1-4419-7762-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)