After discussions with my advisor, I decided to attempt to create a model to predict the location of vineyards in the Niagara Region of Ontario.
I'm going to attempt to use a unique conditions map to identify the combinations of factors which occur at each point on the map. Using the conditions that apply at the known locations of the various vineyards in the region it should be possible to identify locations with a similar combination of factors.
Building a unique conditions map involves taking n number of input maps and assigning A class number to each unique combination. As you can imagine, it doesn't take very long before you have hundreds or thousands of combinations. A preliminary unique conditions map I created had over 750 000 different classes before I was able to eliminate some classes resulting in ~130 000 classes! By reducing the number of classes in the various input layers a more manageable number of permutations can be brought down to a few thousand.
I'm putting various images from my GIS on my website from time to time.