Boundary uncertainty assessment from a single forest-type map

The possibility and advantages of assessing the uncertainty of individual b oundary existence and location from statistical models relating if to neigh boring geometry (polygon area, shape, and line length) and forest-type attr ibutes is examined. Unlike traditional methods of spatial uncertainty asses sment that ore based on a comparison of multiple (costly) map realizations, the proposed method is based on a single map. However, the reference spati al uncertainty for the models is determined from an approach that employs m ultiple map realizations. Results of the proposed method explain 27 percent of the variance in boundary location and 61 percent of the boundary existe nce. Tile best model for boundary location uncertainty predicts boundary wi dth both as a function of boundary length and the shape of neighboring poly gons, while the best model for boundary existence is based on boundary leng th, polygon shape and area, and change in species composition and height at tributes across the boundary.