Interpolation Techniques for Surface Modeling
Interpolation In GIS Why use interpolation in GIS? Because we can do many of the following examples below! Derive surfaces of a study area based on elevation points for elevation We can derive weather surfaces such as rainfall or snow We can look at prediction surfaces to see the effects of the ozone layer on temperature In this lab, we are using different interpolation techniques such as Spline, IDW, and Thiessen Polygons to derive surfaces for the water quality of Tampa Bay, Florida. These tools create rasters of derived surfaces to explain data distribution across a study area. As you can see, these surfaces all differ greatly from each other, so we must calculate the statistics for each one to determine t which "surface" best represents the water quality (BOD - ) for Tampa Bay, Florida. We set our grid zones to a cell size of 250 to support our raster extent of the Tampa Bay, Florida area. We are using BOD (Biochemical Oxygen Demand) and MGL (Milligrams Per Liter ) to