Replication data for: Simulated fields exhibiting varying degrees of spatial structure for research in digital soil mapping and precision agriculture

This database contains 10,201 spatial observations of five covariates, each simulated through an Unconditional Gaussian Simulation process. The simulation occurred in a spatial scenario with a grid of 105x105m with one value for every meter. The covariates exhibit distinct spatial structures, defined by different values of the nugget effect (c₀), sill (c₁), and range (r). The covariate values depend on the simulation process, with only the semivariogram parameters varying. Each complete dataset is referred to as a scenario, numbered from 1 to 24. The semivariogram parameters (sill and range) for each scenario are: Scenario 1: V1 (c₁ = 0.1, r = 50), V2 (c₁ = 0.2, r = 10), V3 (c₁ = 0.5, r = 30), V4 (c₁ = 0.8, r = 80), V5 (c₁ = 0.001, r = 1). Scenario 2: V1 (c₁ = 0.8, r = 80), V2 (c₁ = 0.2, r = 50), V3 (c₁ = 0.3, r = 30), V4 (c₁ = 0.5, r = 10), V5 (c₁ = 0.001, r = 1). Scenario 3: V1 (c₁ = 0.5, r = 10), V2 (c₁ = 0.8, r = 80), V3 (c₁ = 0.2, r = 50), V4 (c₁ = 0.1, r = 30), V5 (c₁ = 0.001, r = 1). Scenario 4: V1 (c₁ = 0.5, r = 30), V2 (c₁ = 0.2, r = 10), V3 (c₁ = 0.8, r = 50), V4 (c₁ = 0.1, r = 80), V5 (c₁ = 0.001, r = 1). Scenario 5: V1 (c₁ = 0.8, r = 50), V2 (c₁ = 0.5, r = 80), V3 (c₁ = 0.1, r = 30), V4 (c₁ = 0.2, r = 10), V5 (c₁ = 0.001, r = 1). Scenario 6: V1 (c₁ = 0.5, r = 10), V2 (c₁ = 0.8, r = 50), V3 (c₁ = 0.1, r = 80), V4 (c₁ = 0.2, r = 30), V5 (c₁ = 0.001, r = 1). Scenario 7: V1 (c₁ = 0.1, r = 30), V2 (c₁ = 0.5, r = 80), V3 (c₁ = 0.8, r = 50), V4 (c₁ = 0.2, r = 10), V5 (c₁ = 0.001, r = 1). Scenario 8: V1 (c₁ = 0.2, r = 80), V2 (c₁ = 0.1, r = 30), V3 (c₁ = 0.5, r = 50), V4 (c₁ = 0.8, r = 10), V5 (c₁ = 0.001, r = 1). Scenario 9: V1 (c₁ = 0.8, r = 30), V2 (c₁ = 0.1, r = 50), V3 (c₁ = 0.2, r = 80), V4 (c₁ = 0.5, r = 10), V5 (c₁ = 0.001, r = 1). Scenario 10: V1 (c₁ = 0.2, r = 30), V2 (c₁ = 0.1, r = 50), V3 (c₁ = 0.8, r = 10), V4 (c₁ = 0.5, r = 80), V5 (c₁ = 0.001, r = 1). Scenario 11: V1 (c₁ = 0.8, r = 80), V2 (c₁ = 0.1, r = 30), V3 (c₁ = 0.5, r = 10), V4 (c₁ = 0.2, r = 50), V5 (c₁ = 0.001, r = 1). Scenario 12: V1 (c₁ = 0.2, r = 80), V2 (c₁ = 0.5, r = 10), V3 (c₁ = 0.8, r = 50), V4 (c₁ = 0.1, r = 30), V5 (c₁ = 0.001, r = 1). Scenario 13: V1 (c₁ = 0.1, r = 10), V2 (c₁ = 0.5, r = 30), V3 (c₁ = 0.2, r = 80), V4 (c₁ = 0.8, r = 50), V5 (c₁ = 0.001, r = 1). Scenario 14: V1 (c₁ = 0.8, r = 50), V2 (c₁ = 0.2, r = 30), V3 (c₁ = 0.5, r = 10), V4 (c₁ = 0.1, r = 80), V5 (c₁ = 0.001, r = 1). Scenario 15: V1 (c₁ = 0.2, r = 10), V2 (c₁ = 0.5, r = 50), V3 (c₁ = 0.1, r = 30), V4 (c₁ = 0.8, r = 80), V5 (c₁ = 0.001, r = 1). Scenario 16: V1 (c₁ = 0.5, r = 80), V2 (c₁ = 0.2, r = 50), V3 (c₁ = 0.1, r = 10), V4 (c₁ = 0.8, r = 30), V5 (c₁ = 0.001, r = 1). Scenario 17: V1 (c₁ = 0.1, r = 30), V2 (c₁ = 0.8, r = 80), V3 (c₁ = 0.5, r = 10), V4 (c₁ = 0.2, r = 50), V5 (c₁ = 0.001, r = 1). Scenario 18: V1 (c₁ = 0.2, r = 50), V2 (c₁ = 0.8, r = 10), V3 (c₁ = 0.1, r = 80), V4 (c₁ = 0.5, r = 30), V5 (c₁ = 0.001, r = 1). Scenario 19: V1 (c₁ = 0.1, r = 50), V2 (c₁ = 0.2, r = 80), V3 (c₁ = 0.8, r = 10), V4 (c₁ = 0.5, r = 30), V5 (c₁ = 0.001, r = 1). Scenario 20: V1 (c₁ = 0.2, r = 30), V2 (c₁ = 0.8, r = 10), V3 (c₁ = 0.5, r = 80), V4 (c₁ = 0.1, r = 50), V5 (c₁ = 0.001, r = 1). Scenario 21: V1 (c₁ = 0.5, r = 10), V2 (c₁ = 0.1, r = 80), V3 (c₁ = 0.2, r = 30), V4 (c₁ = 0.8, r = 50), V5 (c₁ = 0.001, r = 1). Scenario 22: V1 (c₁ = 0.5, r = 50), V2 (c₁ = 0.1, r = 30), V3 (c₁ = 0.8, r = 80), V4 (c₁ = 0.2, r = 10), V5 (c₁ = 0.001, r = 1). Scenario 23: V1 (c₁ = 0.1, r = 10), V2 (c₁ = 0.8, r = 30), V3 (c₁ = 0.2, r = 50), V4 (c₁ = 0.5, r = 80), V5 (c₁ = 0.001, r = 1). Scenario 24: V1 (c₁ = 0.8, r = 80), V2 (c₁ = 0.5, r = 10), V3 (c₁ = 0.2, r = 30), V4 (c₁ = 0.1, r = 50), V5 (c₁ = 0.001, r = 1).