I am using ModelBuilder to interpolate values with inverse distance weighting, iterated through several rows, resulting in many raster datasets - one raster layer per row. I have this and all the raster files are in one folder.
Next, I would like to select the value at specific coordinates, and repeat for each of the raster files, resulting in a table with a row for each coordinate-rasterlayer (so, total number of rows in the final table = # coordinates*number of raster layers in folder).
I added on to the original model, but it is creating an overall estimate from all the raster datapoints (so, total number of rows in this incorrect table = # coordinates)
How can I fix this model?
This works through the IDW step, creating this output, which is a raster layer per row in the original data
The goal is to create at table with estimates for each centroid coordinate from each raster layer. The zip_centroid is a point dataset with lon and lat I need estimates for.