Interpolation

 This week we carried out different surface interpolation techniques.  To the right you will see:

1)IDW:  Inverse Distance Weighting.  This was performed with IDW tool.  Generally the process takes the known sample points and infers values at other points.  This is accomplished by taking the known values and assuming areas in proximity of this will have similar results.

 2)Spline Interpolation Regularized: This method utilizes minimum curvature to fit boundary divisions through and around sample values.  I imagine laying out a piece of yard around the data values to form the boundaries for classifications.

3) Spline Interpolation Tension:  This method again utilizes minimum curvature to fit boundary divisions through the sample values.  Tension setting causes the barrier lines to be a bit more stiff, displaying as less fluid.