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
Apache 2.0
Copyright Vale 2024