vtk grid data krigging using pykrige
name | optional | description |
---|---|---|
soft_db | ❎ | vtk grid to be estimated |
hard_db | ❎ | samples with hard data |
lito | ☑️ | run a distinct pass for each lito value |
variables | ❎ | select which variables from hard data will be interpolated in the soft data |
variogram | ☑️ | a json or yaml file with variogram parameters. check notes for details. |
output | ☑️ | save updated grid on this file path |
display | show results in a chart window |
- Empty grids can be created using the tool vtk_create_grid.py
- Hard data must contain x,y,z columns, either with those exact names or popular synonyms. Ex.: x, easting, mid_x, leste
- Results can be visualized with tools such as db_voxel_view.py or softwares such as Paraview and F3D.
- check sample_data folder on this project for some test files
name | default |
---|---|
algorithm | ordinary |
variogram_model | gaussian |
variogram_parameters | None |
nlags | 6 |
anisotropy_scaling_y | 1.0 |
anisotropy_scaling_z | 1.0 |
anisotropy_angle_x | 0.0 |
anisotropy_angle_y | 0.0 |
anisotropy_angle_z | 0.0 |
distribution | status |
---|---|
✔ | |
❌ | |
✔ |
Any question or problem contact:
- paulo.ernesto