Because we use R to run our financial and statistical algorithms but enriching the point data would be the first step.
I think I might have 3 options here:
1- I already have a geoprocessing service that does what I need. It runs against a mapservice and enriches a point feature layer with the fields I want from the raster datasets, so I could use this service and create a separate R geoprocessing tool for the financial calculations and combine the two in a new geoprocessing tool using the model builder
2- I could do the whole thing in Python as you suggested but this would be the least preferred option because of duplication of work and would be a step away from the current process
3- Do the whole thing directly in R maybe using the rGDAL library and publish it using r-bridge
I don't know much about r and I'm very new to r-bridge so I need to figure out what's the best way to go.
Any suggestion is appreciated.