Dear Stephen,
I assume that your approach will account for spatial structure (large
scale spatial trend), i.e. remove spatial structure prior to analysis
and hence also remove spatially structured but ecologically potentially
important variables. This approach, however, does not necessarily
Hello all,
I would like to run this by everyone and maybe get some hints as to what
R functions I could use for this. Ok, so I have macroinvertebrate
assemblage data from across the SE. I would like to control for
geographic distance (lat/long), Watershed area, and year before
submitting
On 10/07/2013, at 21:00 PM, Stephen Sefick wrote:
Hello all,
I would like to run this by everyone and maybe get some hints as to what R
functions I could use for this. Ok, so I have macroinvertebrate assemblage
data from across the SE. I would like to control for geographic distance
Jari,
Thank you for the quick reply. Maybe I should use something like PCNM
first with the lat/long data to then use in the rda? I really appreciate
all of your help. Are there anyother/better ways to account for spatial
autocorrelation. I guess I need to show that spatial autocorellation
