On Mon, 16 May 2011, Dylan Beaudette wrote:
It is hard to know what the upper-limit is on Windows-- as the memory
is usually fragmented by the operating system.
Correct, the upper limit on other OS is higher in practice.
Since you are using GRASS, I would first try a coarsened version of
yo
It is hard to know what the upper-limit is on Windows-- as the memory
is usually fragmented by the operating system.
Since you are using GRASS, I would first try a coarsened version of
your terrain-shape rasters via the built-in re-sampling functionality.
While this is not ideal, as it is NN-based
Thanks you for your suggestions. This error is not affected by choice of
mapset, and is not limited by my hardware.
Further info: I'm running 64-bit windows, 16MB memory, w/multiple cores.
GRASS 6.4.1, R 2.12.2. I'm running standalone R using initGRASS() to set
GRASS env parameters. The GRASS file
On Mon, 16 May 2011, Mikhail Titov wrote:
Roger:
I see. It is not a 5-minute job. I'll leave my script as is with
`shapefiles` package for now as it is working okay. I just have a
feeling that shapefiles is getting quite outdated (last published in
2006) and overall trend is towards structur
Roger:
I see. It is not a 5-minute job. I'll leave my script as is with `shapefiles`
package for now as it is working okay. I just have a feeling that shapefiles is
getting quite outdated (last published in 2006) and overall trend is towards
structured sp and maptools.
Thanks for your help! Pe
On Mon, 16 May 2011, Mikhail Titov wrote:
Edzer:
Thank you for your suggestions, but it doesn't help much. It does not
recover either Z or M as attributes or anyhow else.
The Z is dropped for SpatialPolygons and SpatialLines everywhere. The M is
not a standard part of the specification - it
Edzer:
Thank you for your suggestions, but it doesn't help much. It does not recover
either Z or M as attributes or anyhow else.
> p <- as(s, "SpatialPointsDataFrame")
> names(p)
[1] "Id" "Lines.NR" "Lines.ID" "Line.NR"
> slotNames(p)
[1] "data""coords.nrs" "coords" "bbox"
On 05/16/2011 08:22 PM, Mikhail Titov wrote:
>> I would try s$M and s$Z to access M and Z when they are attributes.
> But what do I do when they are not? It can work for points, but not a line as
> I can't have attributes for individual points of a line. I would prefer not
> to do any extra con
> I would try s$M and s$Z to access M and Z when they are attributes.
But what do I do when they are not? It can work for points, but not a line as I
can't have attributes for individual points of a line. I would prefer not to do
any extra conversions in GIS before using R.
Do I get it right tha
On 05/16/2011 08:06 PM, Mikhail Titov wrote:
> Hi all!
>
> I feel like I’m missing something simple. I can access X & Y coordinates like:
>
> s <- readShapeLines(elev)
> head(coordinates(s@lines[[1]]@Lines[[1]]))
>
> I can’t seems to find any information on how to access Z and M values. I can
Hi all!
I feel like I’m missing something simple. I can access X & Y coordinates like:
s <- readShapeLines(elev)
head(coordinates(s@lines[[1]]@Lines[[1]]))
I can’t seems to find any information on how to access Z and M values. I can
easily access those with `shapefiles` package, but it has a li
Dear all,
I have a cartography with an island, i.e. a polygon that doesn't share
border with other polygons (CODIGO=3120104012). I would like to
manually assign two areas (CODIGO=3120103024 and CODIGO=3120103014) as
a neighborhood areas of this island with the edit.nb function, and
after that to o
Hi all,
I read (just now) about the Simpson idex. This would probably be a good thing
to try in my case. Do you have any ideas of how to create a diversity map using
Simpson index?
. I have just a few more questions about the code :
The line below as I understand sets a table for each point
Con fecha 15/5/2011, "Matev Pavlič"
escribió:
>Hi Marcelino,
>
>Was out of the office for a while...
>Thanks for the help. I think this could work...but can you tell me what this
>line does?
>
>diversity <- apply(mol.tab,1,function(x) sum(x>0))
mol.tab is a table with the number of occurren
On Mon, May 16, 2011 at 8:41 AM, Mathieu Rajerison
wrote:
> Hi,
>
> To get the centroids, you just have to type this:
>
> ctds<-coordinates(polygons)
>
> polygons being a SpatialPolygons(DataFrame) object
> and
> ctds being a SpatialPoints(DataFrame) object
I'm not sure thats exactly what she ne
Hi,
To get the centroids, you just have to type this:
ctds<-coordinates(polygons)
polygons being a SpatialPolygons(DataFrame) object
and
ctds being a SpatialPoints(DataFrame) object
2011/5/14 elaine kuo
> Dear list,
>
> I have multiple bird distribution maps in the form of ArcGIS shape files.
diversity <- apply(mol.tab,1,function(x) sum(x>0))
gives the number of distinct trees located at each point
For example, for point 2251, we have
> lansing.tab[2251,]
blackoak hickorymaple misc redoak whiteoak
007125
which gives
> diversi
Hi everybody
Is it possible to correct for the edge effect in your data when using a
regression model.
I have to some extent reduce the the effect of the spatial autocorrelation
using a standard spatial lag model.
Cheers Toke Emil
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