Hi Buddhi,
Assuming your climate data are represented as a series of rasters and
your species occurrences have latitude and longitude coordinates, you
can accomplish both of these things with the raster package. Using one
of the climate rasters as a reference raster, you can use the function
cellFromXY() to determine species presence/absence in your cells. And
the extract() function in raster can be used to get the climate values
from climate data rasters.
Hope this helps.
Adam
On 2/3/2016 2:32 AM, Frederico V. Faleiro wrote:
Hi Buddhi,
You can do it easily with the package letsR (
http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12401/abstract).
Cheers,
Frederico
On Wed, Feb 3, 2016 at 6:16 AM, Buddhi Dayananda [via r-sig-ecology] <
ml-node+s471788n7579687...@n2.nabble.com> wrote:
Dear friends,
I am looking for R support to arrange my dataset which I tried and failed
in Arc GIS.
I have 6 bioclimatic variables and 14 species. I want to create a
10kmX10Km
grid to Australia (like a fishnet in Arc GIS) and extract presence/absence
( 1/0) of species in each grid and mean/ or values for each variable (
like
a matrix).
Eg
Grid number or centroid coordinates Sp1 Sp2 Sp3 Sp4 Bio1 Bio2
1 1 1 0 1 25 15
2 0 0 1 0 19 20
3 1 0 0 0 25 30
4 0 0 1 1 18 25
Any assistance would help.
Buddhi
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