I am trying to get zonal statistics in ArcGIS. My zone raster is a world map with zones defined as "provinces (such as the US states)," and the value inputs are temperature data for each "longitude*latitude grid box."
Although I can choose how small each grid box is, ranging from 0.1*0.1 degrees to 1*1 degrees, the provinces and grid boxes do not exactly match. So for example, there could be a province in Switzerland that perfectly overlaps with 5 grid boxes but only partially overlaps with 3 other grid boxes.
I get results just fine when I run standard zonal statistics code in Python but I have no clue how it took care of those partially overlapping zones. Is there any hidden weighting process behind the code?
Going back to the example I used, how is the mean temperature in that province calculated when only 5 out of 8 grid boxes are completely inside the province boundary, while only some parts of the other three are within the boundary?