Unit 3: Raster Analysis

Hopefully you've found some comfort with finding and manipulating geographic data.  Now it is time to put some of that technical confidence to use.  How might we use multiple criteria to assess the landscape?

For this unit, please focus on the following:

  • Learn how to identify different rasters:  aerial images, landcover, elevation, binary, ordinal rasters, etc.

  • Learn to use logical and inequality expressions.


Types of Rasters

There are so many ways to represent the landscape, here are a slew of key kinds of raster -- especially when it comes to landscape interpretation.

Raster Overlay

In this video we look at the basics of doing overlay analysis in raster from a conceptual standpoint.

Raster Classification

Now that we've spent some time messing about with the raster calculator, let's take a closer look at how what we enter affects the output.

Conditional Rasters

Without an attribute table, it gets a little tricky to store information beyond the meaning of one value. If we're careful, however, we can combine rasters to make one value mean multiple things.

Terrain Tools

Here are the terrain tools and what they do.

Boolean Rasters

Learn to use the raster calculator to make boolean rasters from nominal and interval raster datasets.

Hypsometric Tint

The basics of stretching color values across an elevation model in QGIS.