2.3.1. Kriging Interpolation

Kriging interpolation is fundamentally based on the variogram and basic assumption of a spatially related prior model. Given the dual characteristics of randomness and the structure of natural phenomena in space, the Kriging method can be utilized to quantitatively analyze environmental parameters [24,25]. It has been extensively used in numerous fields such as geology, meteorology, and remote sensing [26]. The Kriging interpolation method was utilized in this study to predict the spatial-temporal distribution of O3.
