Hello.
I am trying to create a data frame from a series of rasters that includes
a column for each raster and a column for the corresponding XY values. IE:
I want each row to be the cell values at every XY location.
For example, if I pull down the worldclim bioclim data (below), I would
like to unpack one or more rasters from the raster stack and assemble them
as a data frame with X and Y as an attribute. IE: I want a data frame where
each record is a cell, and the attributes are X,Y,Z1...Zx.
library(raster)
d <- getData('worldclim', var='bio', res=10)
I have done this in GRASS with all data imported but I would like to try
to do it in R in the most succinct way possible. I am getting tripped up on
the structure of the raster stack.
Any hints on how to proceed would be appreciated. Should I just pull out
the raster values, turn them into a vector, slap them into a data frame,
then append the range for the XY? Would that line up correctly?
Thank you.
-Damian
--
?Science knows it doesn't know everything; otherwise, it'd stop. But just
because science doesn't know everything doesn't mean you can fill in the
gaps with whatever fairy tale most appeals to you.? ~Dara ? Briain