Peng-Tao Guo

A Dual-Space Comprehensive Similarity Framework for Spatial Prediction: Integrating Environmental Feature Similarity and Geographic Proximity

Spatial prediction requires determining how sampled observations support estimates at unsampled locations. Existing methods commonly represent these relationships in geographic space, environmental feature space, or through a global statistical relationship between predictors and the target property. We propose a dual-...