Spatial interpolation is used to predicts values for cells in a raster from a limited number of sample data points around it. We are studying streaming high-frequency temperature data in Chicago retrieved from Array of Thing (AoT).
Kriging is a family of estimators used to interpolate spatial data. This family includes ordinary kriging, universal kriging, indicator kriging, co-kriging, and others (Taken from Lefohn et al., 2005). The choice of which kriging to use depends on the characteristics of the data and the type of spatial model desired. The most commonly used method is ordinary kriging, which was selected for this study. Reference: