GIS5935 M2.2 Interpolation

 

Module 2.2 

Interpolation

In this module we practiced using multiple interpolation methods of analysis. 

When studying the Biologic Oxygen demand in Tampa bay Florida we used the methods Spline (both regularized and tension), the IDW method, and Thiessen interpolation method. All of these methods perform the same analysis similarly but also result in different raster imagery. The most important aspect to consider when performing interpolation on data sets is the quality, and quantity of the data. In this part of the lab the quantity of the data was fairly limited over such a large study area. I found that the best method for limited data is the Thiessen method as it does not create a raster image that assumes more about the localized and affected areas than needed.  Above is an image of the spline regularized method.