Methodology and Interpretation
Soil surface erodibility [K factor] (unitless)
This metric is a RUSLE weighted-average effect of inherent soil surface erodibility (K factor), which
is from STATSGO data, and is computed on a cell-by-cell area basis. An increase in soil erodibility
may indicate an increase in the amount of runoff of sediment and chemical constituents associated with
sediment (e.g., phosphorus) to streams and lakes.
Quantile: Each class contains an approximately equal number (count) of features. A quantile
classification is well-suited to linearly distributed data. Because features are grouped by the number
within each class, the resulting map can be misleading, in that similar features can be separated into
adjacent classes, or features with widely different values can be lumped into the same class. This
distortion can be minimized by increasing the number of classes.
Metric input GIS data:
- United States Hydrologic Units (8-digit HUCs) - Metadata
- United States Coastal Change Analysis Program (CCAP) - Metadata
- United States National Elevation Dataset (NED) - Metadata