I am currently working on a project that involves machine learning to predict of ecological attributes across landscapes at fine spatial resolution. Our current list is consists of 80 covariates stacked together. To make predictions across the landscape significant tiling of the raster data is needed. However, the tiling process itself takes significant time and creates a tiled dataset in the thousands of tiles… There is another way!