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geometryInterpolationIDW



Description:
The Inverse Distance Weighted estimates the cell values by calculating the averages of the discrete points in nearby area, and create the raster dataset. This is a simple data interpolation method, and the operation speed is relatively fast. Implementing a POST on the resource can create an IDW analysis result resource.

Interpolation analysis:
Pixel format: The pixel format of result raster dataset.
Scale: *
Resolution: * The resolution used in interpolation.
Operating area: Interpolate the points that are only in this region.
Search mode:
Search radius: *Max radius: When calculating the z value in a location, all the sampling points in this range (the location is centre and the search radius is the radius) will be involved in the operation.
Min count:Search count: When calculating the z value in a location, N (N is a configurable value) sampling points in this range (the location is centre) will be involved in the operation.
Max count:
Max count in Block
Power: * The lower the power value, the smoother the interpolated result. The higher the power, the more detailed the interpolation result. This parameter should be greater than 0.
Result datasource name:
Result dataset name:
Input point set: *
Clipping datasource name:
Clipping dataset name:
  
HTTP methods

Output formats