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Calculation of upper confidence bounds on proportion of area containing not-sampled vegetation types: An application to map unit definition for existing vegetation maps


Patterson, Paul L.; Finco, Mark. 2011. Calculation of upper confidence bounds on proportion of area containing not-sampled vegetation types: An application to map unit definition for existing vegetation maps. Mathematical and Computational Forestry and Natural-Resource Sciences. 3(2): 98-101.

This paper explores the information forest inventory data can produce regarding forest types that were not sampled and develops the equations necessary to define the upper confidence bounds on not-sampled forest types. The problem is reduced to a Bernoulli variable. This simplification allows the upper confidence bounds to be calculated based on Cochran (1977). Examples are provided that demonstrate how the resultant equations are relevant to creating mid-level vegetation maps by assisting in the development of statistically defensible map units.

Keywords: map unit, remote sensing, FIA, dominance type, grid sampling, confidence bounds, mid-level map


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Title: RMRS Other Publications: Calculation of upper confidence bounds on proportion of area containing not-sampled vegetation types: An application to map unit definition for existing vegetation maps
Electronic Publish Date: November 14, 2011
Last Update:
November 14, 2011

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