Tom,
Thanks for your kind support and information again. Yes we have a similar
structure as you did, although with slightly different names, i.e.
Non-geostatistical interpolators, Geostatistical interpolators and Combined
procedures. Your classification seems valuable to me. Could I please have a
On Mon, Jul 7, 2008 at 2:48 AM, Paulo Cardoso <[EMAIL PROTECTED]> wrote:
> Can R perform matrix algebra between ascii converted Esri grids? I'm
> convinced that its trivial.
>
>
>
> The question is a little more complex (from my point of view and
> inexperience): I'm interested in perform cost surf
I think that if the counts are representative for a spatial support
(area) or temporal support that does not vary, then you can consider the
counts as an unscaled density and can interpolate. If they are
representative for varying spatial/temporal support, I would avoid it,
and first work towar
All,
I am reviewing some research in which a number of interpolations
(Inverse Distance Weighting) were done on Species Abundance and Taxa
Richness. My gut and my memory suggest that interpolating count data is
not acceptable. After several hours of research I couldn't confirm
this.
My questio
Ola Paulo,
Up to I know, there isn´t a packages that do the job you want (cost surface)
on R.
But I think that SAGA do this. So, one solution is you get the introdutory
material
on SAGA and after use RSAGA package to communicate between the softwares.
I also have interest on this issue. Please, g
Thanks Mike. I know rgdal package (you introduce it to me!) but I used it
occasionally.
One question remains since I want to consider an array of options to get
cost distance surfaces (e.g. Varying the cost of each habitat).
I've being playing around with calling other programs from R and change
Paulo,
Please note that there is also an
as(d[1], "matrix")
but that it returns the matrix in a different organization.
Please find out which one suits you best; the help of ?image has all
information how image assumes image matrices to be organized, and thus
how as.image.Spatial... converts
Hi Paulo,
You can read ESRI ASCII grids (amongst many others) using rgdal package:
library(rgdal)
d <- readGDAL("file1.asc")
See gdalDrivers() for a listing of the available file formats for your
package build.
The read above would result in a single-colum SpatialGridDataFrame -
named "band
Hi.
R seems to be able to deal with your desired processes.
However, your had better use GRASS GIS or SAGA both of
which support map algebra or cartographic modelling,
import ascii grid and has interface packages(spgrass or
RSAGA) to R for more complicated analyses if required.
Regards.
---
Can R perform matrix algebra between ascii converted Esri grids? I'm
convinced that its trivial.
The question is a little more complex (from my point of view and
inexperience): I'm interested in perform cost surface and distance surface
analysis avoiding ArcGIS tools. Maybe R can deal with grid
Jin,
Do not get me wrong. I support your effort and it would be fairly useful to
have a list of references for various spatial prediction techniques. I only
think that you should first develop a hierarchical/nested classification of
techniques, and then mention 'sub-species' (listing all possi
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