A graphical depiction of multivariate similarity among sample plots

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Abstract
A system for graphically comparing multivariate similarity between a large number of sample plots is presented. Two-dimensional nonmetric (rank order) multidimensional scaling is used to generate maps. These maps display either stand variables (site index, basal area, normality (used as a measure of stocking), change in normality, age and stems per hectare), or three site variables (aspect, elevation, and latitude). The distance between any two points (representing a plot) on these maps is the measure of similarity. Regression equations are used to predict additional map locations.

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