Select Page

In essence, a good book or article is the first place to start. This guidebook is the first to provide hands-on, ready-to-try activity. These articles are written in such a way that no experience is needed before learning how to use the GIS.SPSS has a lot of really useful data analysis features for comparing two or more groups. The most common example is a two group t-test. However, I think SPSS can also be used to do something far more useful and useful for identifying and choosing between large numbers of criteria: a multi-group ANOVA. The basic logic of ANOVA is that it looks at how all the levels (or groups) of each variable compares to each other. For example, if we had a 3 groups (labeled A, B, C) then we would have one observation of each level of (A, B, C) in the data. Here the obvious choices are A vs B, A vs C, B vs C. And so on. In SPSS, you first create a table and select your variables in order. Then for each possible pair of variables, you run the ANOVA function. Of course, you can also add multiple variables at once (which is what I will show below). For example, say we added three color variables C, D and E to our hypothetical example. You could write: Using the same logic as above, we can look at (A, B, C), (A, B, D) and (A, B, E). This gives us three pairs of variables (A vs B, A vs C, A vs D), and ANOVA will then tell you which pairs were different. We can even look at all the pairs (A, B, C, D, E) at once with the Advanced options if you want. For more complex situations and more than 3 groups, SPSS has a lot of useful advanced options that will help you plot out your options and get a feel for what you are looking at. Obviously, you can do this with Excel as well. However, I think SPSS has a lot of features which may be easier to use and have better error handling. Also, as you may have guessed, I make a living from my passion for GIS and remotely sensing data, while running a workshop for students on how to use GIS effectively in the real world. If you