Compare Kriging

%matplotlib widget
import matplotlib.pyplot as plt
plt.ioff()
# turn of warnings
import warnings
warnings.filterwarnings('ignore')

import numpy as np
import gstools as gs

# condtions
cond_pos = [0.3, 1.9, 1.1, 3.3, 4.7]
cond_val = [0.47, 0.56, 0.74, 1.47, 1.74]
# resulting grid
gridx = np.linspace(0.0, 15.0, 151)

model = gs.Gaussian(dim=1, var=0.5, len_scale=2)

kr1 = gs.krige.Simple(model=model, mean=1, cond_pos=cond_pos, cond_val=cond_val)
kr2 = gs.krige.Ordinary(model=model, cond_pos=cond_pos, cond_val=cond_val)
field1, var1 = kr1(gridx)
field2, var2 = kr2(gridx)

plt.plot(gridx, kr1.field, label="simple kriged field")
plt.plot(gridx, kr2.field, label="ordinary kriged field")
plt.scatter(cond_pos, cond_val, color="k", zorder=10, label="Conditions")
plt.legend()
plt.show()