Dear list,
I am using the package adehabitatLT to create null models using the
function bellow. I set my treatment function to NULL and I included a
constraint function based on an MCP of all my animal locations.
my.CRW <- NMs.randomCRW(na.omit(inter3), rangles = TRUE, rdist = TRUE,
fixedStart = TRUE,
x0 = NULL, rx = NULL, ry = NULL, treatment.func = NULL,
treatment.par = NULL, constraint.func = consfun,
constraint.par = GHA_const, nrep = 15)
my.sim<- testNM(my.CRW)
When I was ordering the data by dates to extract my environmental
variables, I realised that no matter the number of nrep I perform, my
results (locations of the null model) for a specific date are all the
same. I don’t think this is right, correct? The idea of generating the
crw is to have a possible distribution where the animal could have gone.
Although the results are different than the original coordinates,
instead of generating 15 different trajectories it is just generating
one. Here an example of my output:
x y date Id CRW_Id
1 4775351 1059107 13/05/2003 20:27 O66A 1
50 4775351 1059107 13/05/2003 20:27 O66A 2
99 4775351 1059107 13/05/2003 20:27 O66A 3
148 4775351 1059107 13/05/2003 20:27 O66A 4
197 4775351 1059107 13/05/2003 20:27 O66A 5
246 4775351 1059107 13/05/2003 20:27 O66A 6
295 4775351 1059107 13/05/2003 20:27 O66A 7
344 4775351 1059107 13/05/2003 20:27 O66A 8
393 4775351 1059107 13/05/2003 20:27 O66A 9
442 4775351 1059107 13/05/2003 20:27 O66A 10
Could you help me undertand that? Any possible solution?
Thanks a lot for your help!
Best,
Ana
--
PhD student
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