Please note that there are two interpolation modules available in SPRING:
Interpol, a separate interpolation application accessible from the SPRING menu (Calculation Interpolation)
SPRING Interpolation: implemented inside SPRING, which is accessible from the SPRING menu (Attributes Assign Interpolation)
In principle, the interpolation makes a difference between two types of data interpolation:
Area Interpolation from data at nodes or elements: Different interpolation algorithms can be used for interpolation of values (zi) at points (xi,yi) to all nodes or elements of the FE-model . Additional Information can be integrated to the interpolation. In the special case of the Interpolation of a groundwater contour map multiple functions are implemented to add information - already stored in the FE-model - to the interpolation process.
Linear interpolation from scatter points (also transient data / curves) to all nodes along a defined node track.
In the following figure are the different interpolation algorithms compared to each other.
Element mesh with interpolation points |
Nearest Neighbour method |
Distance weighting (500+2) |
Area interpolation (1 pass) |
Gauß interpolation |
Kriging (Fitting polynom) |
The interpolation algorithm „Nearest Neighbour “ is provided only in the SPRING menu Attributes (Attributes Assign By interpolation…), whereas the interpolation methods distance weighting, area and Gaussian interpolation are provided as well in the attribute menu as in the calculation menu (Calculation Interpolation…). The interpolation method Kriging is only available in the calculation modul Interpolation.
In general, the SPRING interpolation should be preferred as it includes the latest implementations.
Input Parametersof the Calculation Modul Interpol