Julia can not find libtiff (R 4.4.0, Julia 1.9.3) when running ResistanceGA in R

[vladimirovav]

I’m running a ResistanceGA package in R incorporating work in R and Julia. When I run the jl.prep function it gives me this error. Note it runs fine on my laptop, but when I try to run it in ComputeCanada (remote access computer) it gives me the error, which I’m assuming means that the access to julia works somehow differently :

Error: Error happens in Julia.
InitError: could not load library “/home/varv/.julia/artifacts/4e48910b6d6946bcb2a95632700ecc7e12ff8a9a/lib/libgdal.so”
/cvmfs/soft.computecanada.ca/gentoo/2023/x86-64-v3/usr/lib64/libtiff.so.6: version `LIBTIFF_4.6.1’ not found (required by /home/varv/.julia/artifacts/4e48910b6d6946bcb2a95632700ecc7e12ff8a9a/lib/libgdal.so)
Stacktrace:
[1] dlopen(s::String, flags::UInt32; throw_error::Bool)
@ Base.Libc.Libdl ./libdl.jl:117
[2] dlopen(s::String, flags::UInt32)
@ Base.Libc.Libdl ./libdl.jl:116
[3] macro expansion
@ ~/.julia/packages/JLLWrappers/GfYNv/src/products/library_generators.jl:63 [inlined]
[4] init()
@ GDAL_jll ~/.julia/packages/GDAL_jll/YrNvh/src/wrappers/x86_64-linux-gnu-cxx11.jl:78
[5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
@ Base ./loading.jl:1115
[6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::String, depmods::Vector{Any})
@ Base ./loading.
Execution halted
Julia exit.

The code specifically that I’m running is:

jl.inputs ← ResistanceGA::jl.prep( # jl.prep runs in Julia, allows for speed and parallel processing (well with large data, instead of CS.prep) ()
n.Pops = length(sampleBGLoc_NAD83), # n.Pops will be the no. of indiv in spPoints object (4728 bytes)
response = lower(PropSharBG2CM), # extracts the lower triangular part of your genetic distance matrix. Use pairwise genetic distance matrix (3432 bytes)
CS_Point.File = sampleBGLoc_NAD83, # spatial points dataframe - locations of the individuals
parallel = TRUE, # use several cores
cores = 8, # Check your systems core, adjust
JULIA_HOME = JULIA_HOME)# where the Julia binary files are stored