You can try the rgeos::gBuffer() with capStyle='SQUARE'
p<-SpatialPoints(matrix(c(1,1), ncol=2))
plot(p)
plot(gBuffer(p, capStyle="SQUARE",width=0.1), add=T)
Would that fit you ?
regards
Alex
[[alternative HTML version deleted]]
___
R-sig-Geo
Hi Tom,
It also works for me with this
R version 3.1.0 (2014-04-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=French_France.1252 LC_CTYPE=French_France.1252
LC_MONETARY=French_France.1252
[4] LC_NUMERIC=C LC_TIME=French_France.1252
attached base packag
ot; "bio8" "bio9"
> "bio10" "bio11"
>> class(temp)
> [1] "character"
> ###end
>
> I am not sure why this issue is occurring.
> I have checked all the projections - all files are in the same projection.
> I have restarted
Hi,
This message doesn't prevent you from using grass. You can still use the
different grass modules within the R environment. Unless you have other
warnings or error messages...
HTH
Alex
Le 13 juin 2014 05:54, "Ramiro Augusto Espada" a écrit
:
> Hi!
>
> Im trying to use GRASS GIS inside R. B
Dear list,
I'm trying to rasterize a SpatialLines object, which represents the path
of an individual (created from the points locations).
I would like to know the number of times he visited a given pixel.
Following the example (slightly modified) in raster::rasterize
cds1 <- rbind(c(-180,-20)
# anything else you want to do in every panel
> panel.xyplot(x,y,...)
> },
> scales = list(draw = FALSE),
> xlab = NULL, ylab = NULL
> )
>
> Hth,
>
> On 10/03/2013 10:25 PM, Alexandre Villers wrote:
> > Good eve
Good evening,
I'm sure I'm missing something really obvious but I couldn't figure it out
(or find the solution on the Internet). Is there a way to produce the same
type of graph as
library(lattice)
data(meuse)
xyplot(y~x|ffreq, meuse, asp=1)
with spplot.points and a SpatialPointsDataFrame ?
I w
nd any other package you think can fit such
> model.
>
> Thank you.
>
> Moshood
>
> [[alternative HTML version deleted]]
>
> ___
> R-sig-Geo mailing list
> R-sig-Geo@r-project.org
> https://stat.ethz.ch/mailman/
8.0/i386 (32-bit)
>
> My computer:
> MacBook 2GHz Intel Core 2 Duo
> MAC OS X Version 10.6.8
>
> [[alternative HTML version deleted]]
>
> ___
> R-sig-Geo mailing list
> R-sig-Geo@r-project.org
> https://stat.ethz.ch/mailman/
patial reference.
> Thank you in advance
> Komine
>
>
>
> --
> View this message in context:
> http://r-sig-geo.2731867.n2.nabble.com/Export-raster-from-R-to-Arcgis-tp7583995.html
> Sent from the R-sig-geo mailing list archive at Nabble.com.
>
> ___
Hi,
There is an asp options in par. It works with plot and image
plot(x,y, asp=1) or image(x, asp=1) should produce what you're looking for
HTH
Alex
On 02/07/2013 10:31, Ivailo wrote:
Dear R-geo folks,
I am trying to plot some points with gmap(), but the resulting plot is
not the same qualit
Hello,
Regarding what you call "habitat prediction map", which I guess is
habitat suitability (if this term is more suited), you can have a look
at the spatial analyst page
http://spatial-analyst.net/wiki/index.php?title=Species_Distribution_Modelling
HTH
Alex
P.S.: by the way, you should
Good afternoon,
I've been searching the CRAN for quite a while now without being successful.
In case I've missed it, could someone provide me with the name of a package
that would allow simulating landscapes of categorical variables (and
controlling the spatial correlation of the different landsca
Hi,
You could try using paste(). This should work (I think)
spTransform(xy, CRS(paste("+proj=laea +lat_0=",LAT, " +lon_0=", LONG," +x_0=0
+y_0=0 +ellps=WGS84 +units=m +no_defs",sep="")))
HTH
Alex
On 29/05/2013 10:58, Francesco Carotenuto wrote:
> Hi
> to all,
> I
> need to automatically
Hi,
Typing ?enfa (after loading adehabitatHS) and searching through the
examples that are provided, you should find these lines
## We prepare the data for the ENFA
tab <- slot(map, "data")
pr <- slot(count.points(locs, map), "data")[,1]
Maybe you could start with this, i.e. understanding how
Hi,
Typing ?enfa (after loading adehabitatHS) and searching through the
examples that are provided, you should find these lines
## We prepare the data for the ENFA
tab <- slot(map, "data")
pr <- slot(count.points(locs, map), "data")[,1]
Maybe you could start with this, i.e. understanding how
Hello,
Don't know if this is of any help but in package ncf, there is the
spline.correlog() function that apparently deals with NA.
HTH
Alex
On 12/03/2013 16:55, Diogo B. Provete wrote:
> Dear list,
> I'm trying to get a spatial correlogram of some environmental variables
> with function spdep:
Hello,
Well, given you went from a projected to a geographic coordinates
system, you changed the unit of the grid from meters to degrees.
So I wouldn't be surprised and I guess nothing went wrong as long you
specified the correct EPSG for your original file.
HTH
Alex
On 07/03/2013 15:29, Sw
gt; 5: In getGridIndex(coordinates(points), grid) : NAs introduced by coercion
>
> What's the problem?
>
> PD: I can not attach data for this because the size exceeds the maximum
> allowable.
>
> Thanks in advance.
>
> ___
Good afternoon,
You should be more specific when reporting an error if you want people
to help you. Check this link first
http://www.r-project.org/posting-guide.html
- Stating "Result error in below" is not really the best sentence to
attract one's attention. What is the problem exactly?
- You
Hi,
Have a look at density.psp() in spatstat package (
http://r-sig-geo.2731867.n2.nabble.com/Kernel-Density-With-Lines-td6407187.html
)
HTH
Alex
On 23/12/2012 10:54, Allen Aven wrote:
Hi geo-listers. I'm trying to figure out if there is a method in R for
line density estimation, simila
Hello,
It's not really clear from your message whether y1, y2, y3 are the y
part of x/y coordinates, and what is the exact structure of your data
frame. Without knowing this, the code below is to be adapted to your needs
##load the packages
library(gstat)
library(raster)
#Load the data that
Hi Erin,
You should provide us with more information: with no lat / lon data, it
is going to be pretty difficult to turn your data frame into a Spatial
Object... were the data collected on a regular grid, is it somehow
linked to a Spatial object that could be imported into R? From the last
co
Hi,
I think I found the solution with the extract function of the raster
package, which seems pretty fast from what I just experienced...
But any other suggestions are welcome !
Best regards
___
R-sig-Geo mailing list
R-sig-Geo@r-project.org
https:/
Dear list,
I am struggling a bit with this issue and was hoping that someone could
indicate me a solution.
I have a raster image describing the landscape (with several habitat
classes) at 10 meters resolution. I would like to compute the different
proportions of each habitat type, but on a c
Hi,
If you are not afraid to switch to Bayesian methods (but fast ones !),
the INLA package could do that for you. ( www.r-inla.org )
Cheers
Alex
On 14/02/2012 15:36, Kay Cichini wrote:
Hi all,
I'd very much appreciate pointers at methodology/R-packages/functions
suited for modelling zer
Hi,
You should have a look at the documentation (e.g. manuals) available on
graphics in R (on the CRAN website, hhttp://cran.r-project.org/) to
learn how to set the parameters of a R graphic, and more specifically at
the spplot function (from package sp) for spatial objects (the ASDAR
book of
Dear list,
I would like to simulate a landscape composed of 5-10 different habitat
classes, with 2 or 3 classes displaying spatial clustering. I couldn't
find any implemented function (if there is any) and was wondering if
someone could suggest an elegant way of doing it. I was thinking of
us
Hey,
From what I understood, most landscape classification methods available
from GRASS (through R) do not account for the temporaI aspect of
spectrum. So for example, if you have a raster where each band
represents NDVI values at a given date, from March to September for
example, the classif
Hi,
Have a look at the disc() function in spatstat. I guess you can then
either do what you aim at directly with spatstat, or after converting
spatstat objects to sp class with maptools appropriate functions.
HTH
Alex
On 30/03/2011 15:39, Pieter Botha wrote:
Hi
I have a SpatialPointsDataF
Hi,
What is exactly your goal? Displaying an image in a GIS or just saving
an image to be used as an illustration ?
If the second option is yours, then have a look at spplot() and then
save the image with png(), jpeg(), tiff() or bmp()
HTH
Alex
Dear all,
I'm new to this forum.
I'm despe
Good afternoon,
I guess it will be the unit of your original SpatialPolygons object. If
you use a projected coordinate system, the unit should be in meters,
otherwise, I'm not sure of this, but it should be in squared degrees.
HTH
Alex
Le 15/02/2011 10:31, Wincent a écrit :
The previous em
Matrix_0.999375-46 nlme_3.1-97
svMisc_0.9-61 tools_2.12.1
--
Alexandre Villers, PhD.
Postdoc researcher
Spatial
Ecology & Population Dynamics
Section of Ecology, Department
of Biology
University of Turku
), npoly=126)
--
Alexandre Villers, PhD.
Postdoc researcher
Spatial Ecology & Population Dynamics
Section of Ecology, Department of Biology
University of Turku
FIN-20014 Turku
Finland
@mail: alexandre.
Hey,
After checking the vignette of Intamap, you can find out from this
example that
data(meuse)
coordinates(meuse) = ~x+y
meuse$value = meuse$zinc
data(meuse.grid)
gridded(meuse.grid) = ~x+y
x = interpolate(meuse, meuse.grid, list(mean=TRUE, variance=TRUE))
x$predictions is a SpatialPixelsDa
lt;- TRUE
g <- krige(formula=wert ~1, e, grd,model=vgm(1,"Exp",300))
proj4string(g) = CRS("+init=epsg:4326")
writeGDAL(g, "ordinary_kriging_1.tif", drivername="GTiff", type="Byte")
Thanks
Tarek
--
Al
and the
simplify.owin() function. Maptools package provides function to convert
objects between sp and spatstat formats.
HTH
Alex
--
Alexandre Villers, PhD.
Postdoc researcher
Spatial Ecology & Population Dynamics
Section of Ecology, Department of Biology
University of Turku
FIN-20014 T
(letterR)
m<- as.mask(letterR, dimyx=32)
p<- as.polygonal(m)
Cheers,
Marcelino
Con fecha 3/12/2010, "Alexandre Villers"
escribió:
Good afternoon
I'm trying to convert a mask to a polygonal windows with spatstat.
However, despite, the gpclibPermit(
Good afternoon
I'm trying to convert a mask to a polygonal windows with spatstat.
However, despite, the gpclibPermit() command, I get this error message:
Warning message:
In as.polygonal(m) :
Can't convert mask to polygon: gpclib is disabled/unavailable
While trying this
data(letterR)
39 matches
Mail list logo
