Taxonomy of Slope Positions and Quantification of Their Spatial Distribution Information

A two-level taxonomy of slope positions is presented,and a fuzzy inference approach based on similarity to the typical locations to fulfilling the quantification of the spatial gradation between slope positions is proposed,which is normal phenomenon in nature.The new approach overcome a lot of some shortcomings(e.g.,neglecting spatial information) in current approaches to quantifying the spatial gradation of slope positions,and is applied to quantifying the spatial distribution of slope positions with a fuzzy manner.The results show that both the two-level taxonomy and our proposed approach are reasonable.