interpolationRBF

Description:
Spline interpolation assumes that the attribute variation is smooth and has the following two characters: (1) The surface must accurately pass through all the sample points; (2) The surface has the minimum curvature. Spline interpolation is good at creating isolines and curves for which an appealing appearance is required. You can create an interpolationRBFResult resource by implementing the POST request on this resource.

Interpolation analysis:

Pixel format:		Pixel format for result grid dataset storage.
Interpolation field:
Scale ratio:
Resolution:		Resolution for interpolation.
Bounds:		Bounds for interpolation.
Search mode:
Search radius:		While calculating the Z value of a position, all points in the circle, with the specified position as center and the specified search radius being as radius, will be involved in the interpolation.
Expected count:		While calculating the Z value of a position, N points in the circle, with the specified position as the center, will be involved in the interpolation.
Max point count:
Max points in block
Tension:
Smoothness:
Attribute filter:		Only points satisfying certain conditions will participate in the interpolation.
ID filter:		Only points with ID values satisfying certain conditions will participate in the interpolation.
Result datasource:
Result dataset:
Clipping datasource:
Clipping dataset:		The input clip dataset needs to overlap with the dataset to be analyzed.

HTTP methods

GET
POST
HEAD

Output formats