This is a contribution of by Benjamin William Barrett who is a PhD student at the Health and Biomedical Informatics track of Northwestern University Feinberg School of Medicine’s Health Sciences Integrated PhD (HSIP) program. He was geocoding healthcare encounters within a singular, privacy-preserving, environment via containerization and Docker but struggled to get the {appeears} R package authentication working.
I provided some guidance, mainly the use of a pre-created or spoofed keying, to avoid any user interaction in such a non-interactive setup.
The CHELSA dataset provides access to climatologies at high resolution for the earth’s land surface areas. Among those are the global climate-related predictors at kilometer resolution for the past and future (Brun et al. 2022) - generally known as bio-climatic variables. This dataset is provided through the main CHELSA website and links to a file download option which focuses on bulk file downloads.
However, it seems that the geotiffs provided are cloud optimized geotiffs (COG files).