New answers tagged statistics
I would use one of the three spatial analyst overlay methods. These include: weighted overlay, weighted sum and fuzzy overlay. Weighted overlay is very intuitive and would likely be a good choice for your analysis. As you can see, the analysis is intuitive and useful (Source ESRI): Additional Resources: Overlay analysis approaches Weighted ...
My previous answer had some issues as @Hornbydd mentioned! So here is the one that worked. I could even ran it without having the "Collect tools" inside the model and just used the "Append" tool.
If you want to do this entirely within ModelBuilder you would create a model that iterates over your rasters, feed into a zonal stats tool and the output of that feed into a collects tool exposed as a parameter as shown below. This becomes a sub-model in a model that takes the collected tables and appends them into a single table as show below.
For each cell in your 100 rasters you know: Current cell value (total rainfall per year?) Mean rainfall per year at that cell And you also know: Standard deviation based on 100 years (population) I would think the simplest approach would be to use the raster calculator in conjunction with a ModelBuilder iterator. You can write a short equation to ...
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