Hi, I am currently trying to match my area data for each cell in a raster to the population of each cell to calculate the density. When I run the crop function to get the specific state data that I want I have significantly more rows/cells of data than when I run my extract function to get the populations given. Since they aren’t the same size I can’t join them together. I’m thinking maybe I have some NA data or extra points when I run my crop but i’m not sure how to check. Any help would be greatly appreciated.
These are the crop and extract functions I am running: state_crop <- crop(pop_world_2015, states, df = TRUE) state_pop_15 <- extract(pop_world_2015, states, df= TRUE) This is how i’m calculating the area: state_area <- raster::area(state_crop) Thanks, Alex Fitz _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
