Figure 4.

Synthetic anti-snowflake models: recovery scores for GeoSPM and kriging of model term $Z_1$ in the low (N = 1600) and high (N = 3200) sampling regime

Lines denote the mean score across 10 random model realizations, shaded areas its SD to either side of the mean. Areas of overlapping performance are identified by additive shading. As is the case with the snowflake models, GeoSPM degrades more slowly and gracefully as noise increases compared with kriging. Comparable results for model term $Z_2$ are shown in Figure S11.