I am currently doing a modeling project at county scale in which I have disease rate as dependent variable and environment variables (such as temperature, NDVI and evapo-transpiration) as the independent variables.
In order to tell how good my model is, I need to do regression analysis for which I need a particular value of each variable at county level. For this purpose I used zonal statistics tool in ArcGIS and took the mean value of NDVI, temperature and evapo-transpiration.
- As a county scale is too coarse, so taking 'Mean' is the right statistics or not?
- Also in case of counties having a lot of cloud cover, zonal statistics only considers available pixels (may be too few) to compute. What is the right way to deal with such an issue?
I will really appreciate your solutions and if you have any links/research papers to support this.