Hello everyone,
I am analyzing a data set for a spatial ecology project.
The data is beetle abundance data collected from different natural patches.
The beetles abundance have been collected once a month for several months from a set of patches.
Every sample then consists of abundance data and numerical patch attributes.
some patch attributes are fixed (e.g size/shape of the patch), and some changes in time (e.g % of plant cover).
In general i am looking to see if these attributes affects the abundance of the beetles.
My questions are:
- Should i treat samples from same patches from every month as repeated measures? If so, which analysis should i use?
- Can i combine in the same model the variables that don't change through time with the ones that are changing?
Any advice would be much appreciated,
Thanks!
I am analyzing a data set for a spatial ecology project.
The data is beetle abundance data collected from different natural patches.
The beetles abundance have been collected once a month for several months from a set of patches.
Every sample then consists of abundance data and numerical patch attributes.
some patch attributes are fixed (e.g size/shape of the patch), and some changes in time (e.g % of plant cover).
In general i am looking to see if these attributes affects the abundance of the beetles.
My questions are:
- Should i treat samples from same patches from every month as repeated measures? If so, which analysis should i use?
- Can i combine in the same model the variables that don't change through time with the ones that are changing?
Any advice would be much appreciated,
Thanks!