It wont print the modeled elements if Im printing in Vector. : +proj=sterea +lat_0=52.1561605555556 +lon_0=5.38763888888889 +k=0.9999079 +x_0=155000 +y_0=463000 +datum=WGS84 +units=m +no_defsĪnd even thought that is somewhat anycodings_geotiff inconsistent with base R, I think it is anycodings_geotiff better that way in the context of raster anycodings_geotiff data. complex work with data / Collect data, edit it and save to a file or database, analyze data vector and raster / Works directly with vector and raster data. But if i make a non-rectangular crop in an elevation view. This is not the case with terra: library(terra) anycodings_geotiff Otherwise you could use mask after calc. In your case with the worldclim data anycodings_geotiff there is no reason to use na.rm=TRUE.

The sum of nothing is zero, whereas the anycodings_geotiff sum of one or more NAs is NA. The JPEG standard works by averaging colour variation and discarding what the human eye cannot see, a process known as lossy compression. That is because of how sum anycodings_geotiff works. Note the difference in minimum values (0 anycodings_geotiff vs 416.1212).

anycodings_geotiff I will use an example file that ships anycodings_geotiff with R for easier reproducibility library(raster)į <- system.file('external/d', package='raster')

Raster werks