Interpolation

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 This week we learned about spatial interpolation, specifically Thiessen polygons, inverse distance weighting (IDW), spline, and kriging. Thiessen polygons or nearest neighbor is the simplest interpolation method. It assigns a value to a polygon based on the nearest value. IDW assigns a value based on the closest data point. The spline technique creates a smooth surface by passing through the data set and using a mathematical formula to interpolate. Kriging uses a multivariable formula to interpolate. 

We used thiessen polygons, IDW, and spline (regular and tension) techniques to interpolate a data set of water quality in Tampa Bay. Figure 1 shows the results of the regularized spine technique. 



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