Hi,


How is represented your data: a regular grid: raster, irregular samples:
points, or slots/parcels: areas?

If you want to determine species richness, you can use simpson and shannon
indexes with diversity package.

On a point pattern object, use spatstat::marktable function as mentionned in
http://r-sig-geo.2731867.n2.nabble.com/density-diversity-of-points-td6355348.html

On a raster, use raster::focal

Then you may perform a linear regression with your explanatory variables.

2011/7/3 ah3881 <ah3881@bristol.ac.uk>

> I am trying to run some analysis to determine the percentage contribution
> of various factors (minimum temp in lgm, npp, etc) on determining
> species richness of 171 species throughout Southeast Asia (on a km by km
> basis-so over 4 million rows of cells, and about 14 columns).
> I have read about various stats tests, and softwares-but I am no
> statistician and I would really appreciate some advice as to the best
> method/tests.
> So far I have been attempting SPSS, but it does not give me the outputs I
> need, and a colleague suggested R might be the best way to analyse the data
> Thanks in advance
>
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