Jonathan,
Again, this is no more an adehabitat question: the whole idea of the new
series of packages (including adehabitatHS) is to rely on spatial R classes
that are available with sp. All adehabitat functions to handle maps (such
as as.kasc) have thus been removed.
This said, this should help:
library(maptools)
x <- readAsciiGrid(system.file("grids/test.ag", package="maptools")[1])
class(x@data)
head(na.omit(x@data))
x@data <- cbind(x@data, x@data * 2)
head(na.omit(x@data))
As you can see, the data attributes are stored in a data frame. One
possibility for you is then to import all your variables using
readAsciiGrid, and then cbind all @data into one (assuming all your rasters
have the same resolution and extent). There might be other solutions as well...
Lastly, read.csv is fine to import the point data. You'll then need to
convert the data frame to SpatialPoints using e.g. the function
'SpatialPoints'.
Mathieu.
Le 04/10/2013 10:39 AM, JonathanAronson a écrit :
perhaps I can clarify my question a lit bit further:
With the adehabitat package I used the function as.kasc to create a single
data frame with my 15 variables as Ive shown below:
map<- as.kasc(list(bio_01 = var1, bio_12 = var2, Aridity = var3, altitude =
var4, unpalatable = var5, thicket = var6, succulent = var7, shrubland =
var8, rainforest = var9, mosaic = var10, mopane = var11, misavanna = var12,
hydro = var13, fynbos = var14, desert = var15))
However, in the adehabitatHS, what is the equivalent function to use to
create the data frame which is equivalent to the lynxjura$map spatial pixel
data frame? There is no as.kasc function. I have used the readAsciiGrid
function in Maptools but I can only do that individually for each variable.
How then can I combine these into a single data frame? I have thought of
using the stack() function in the raster package.
I am really stuck here
Thanks to anyone who can help
Jonathan
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