SearchNeighborhood
SearchNeighborhood
evo.compute.tasks.common.search.SearchNeighborhood
Search neighborhood parameters for geostatistical operations.
Defines how to find nearby samples when performing spatial interpolation or estimation. Used by kriging, simulation, and other geostatistical tasks.
The search neighborhood is defined by an ellipsoid (spatial extent and orientation) and constraints on the number of samples to use.
Kriging, IDW, KNN and declustering can further limit the samples by octant, quadrant and drillhole. The other tasks do not support these limits and refuse a neighborhood that sets them.
Example::
ellipsoid
The ellipsoid defining the spatial extent to search for samples.
max_samples
The maximum number of samples to use for each evaluation point.
min_samples
The minimum number of samples required. If fewer are found, the point may be skipped.
max_empty_octants
The maximum number of empty octants (sectors) allowed when searching for samples.
Omit, or use 8, to disable the octant check.
max_samples_per_octant
The maximum number of samples to use from each octant.
max_empty_quadrants
The maximum number of empty quadrants (2D sectors, ignoring Z) allowed when searching for samples.
Omit, or use 4, to disable the quadrant check.
max_samples_per_quadrant
The maximum number of samples to use from each quadrant (2D sectors, ignoring Z).
max_samples_per_drillhole
The maximum number of samples to use from each drillhole. Requires a downhole intervals source object.
max_drillholes_per_estimate
The maximum number of drillholes used in each estimate. Requires a downhole intervals source object.