I am trying to run analysis on the yearly weather data files here: https://www.northwestknowledge.net/metdata/data/. I'm running into a problem where each yearly file for each variable requires 2.4GB memory if I read it in using ncdf4 package. I can use the raster packages brick function to create a pointer to the file on disk, but this is very slow.

How do I store a raster brick in my computer's memory, rather than just create a pointer? Also, if anyone has ideas on how to reduce the size of these files in R (they're about 100MB on disk), that would be much appreciated.

I am trying to run analysis on the yearly weather data files here: https://www.northwestknowledge.net/metdata/data/. I'm running into a problem where each yearly file for each variable requires 2.4GB memory if I read it in using ncdf4 package. I can use the raster packages brick function to create a pointer to the file on disk, but this is very slow.

How do I store a raster brick in my computer's memory, rather than just create a pointer? Also, does anyone have ideas on how to reduce the size of these files in R (they're about 100MB on disk)?