GIS 5935 - Surfaces Lab 5

 Understanding water quality across an area as dynamic as Tampa Bay often requires transforming discrete sample points into a continuous surface. This process, known as interpolation, allows us to visualize trends and identify potential areas of concern. However, not all interpolation methods are created equal, and their underlying approaches can significantly impact the resulting surface. The inclusion of a mask improves results significantly as seen in the spline examples below


Technique

Minimum

Maximum

Average

Standard Deviation

Non-spatial

0.8

3.5

1.81

0.567

Thiessen

0.8

3.5

1.80

0.46

IDW

0.8

3.5

1.80

0.32

Spline - Regularized

-5.5

25.8

1.82

1.88

Spline - Tension

-2.7

3.9

1.80

0.50

Spline-Regularized Masked

-2.7

3.9

1.80

0.5


Spline - Tension Masked

-1.3

3.8

1.66

0.70

Based on these metrics the Spline tension masked gives the best result.


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