Mapping#
Mapping is the process of transferring or interpolating field data from one spatial support to another. PyDPF-Core provides several mapping operators, each designed for specific use cases, from quick shape-function interpolation to RBF-based mesh-to-mesh transfer.
Uses on_coordinates to interpolate field values at arbitrary spatial coordinates
using mesh shape functions. Ideal for extracting results along paths or at sensor locations.
Uses find_reduced_coordinates and on_reduced_coordinates for a two-step
high-precision mapping process. Useful for Gauss point mapping and mesh-to-mesh transfer.
Uses solid_to_skin to transfer field data from volume elements to surface elements.
Supports elemental, nodal, and elemental-nodal locations.
Uses prepare_mapping_workflow to generate reusable workflows based on Radial Basis
Function (RBF) filters for mapping results between non-conforming meshes.
