I want to save multiple height normalized .laz files as variables to my global environment in R, but the
readLAS() function starts decompressing the .laz files, and there comes a point where my laptop can no longer allocate more RAM to R for storing variables. I tried using reducing the size of a laz file variable by using the select function
select = "xyz0" according to this question, which has reduced the size to 428 MB which was initially increased to 1.6 GB (without the select function) from 78.4 MB (original .laz file size).
Can I use the filter function to exclude anything else from the .laz file in order to further reduce the variable size, when the purpose is to create convex hull polygons? Basically, I want to reduce memory allocation size due to the way R stores LAS/LAZ files as variables.