An Adaptive Weighting Algorithm for Interpolating the Soil Potassium Content.

ABSTRACT: The concept of spatial interpolation is important in the soil sciences. However, the use of a single global interpolation model is often limited by certain conditions (e.g., terrain complexity), which leads to distorted interpolation results. Here we present a method of adaptive weighting combined environmental variables for soil properties interpolation (AW-SP) to improve accuracy. Using various environmental variables, AW-SP was used to interpolate soil potassium content in Qinghai Lake Basin. To evaluate AW-SP performance, we compared it with that of inverse distance weighting (IDW), ordinary kriging, and OK combined with different environmental variables. The experimental results showed that the methods combined with environmental variables did not always improve prediction accuracy ev

SUBMITTER: Liu W 

PROVIDER: S-EPMC4823722 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature