The x and y ranges of your plot depend on your data, but the (first)
legend command hard codes coordinate values (-2, 0.5). These coordinate
values may not be near enough to you data values to see it.
On 10/14/2010 03:36 AM, govin...@msu.edu wrote:
Hello all,
Here I am with a plot issue -
Dear list,
I try to produce a map by sp.plot showing runoff forecasts along a river
network. Additionally to the river network (lines), I want to plot a coast
line (lines) and lakes (polygons) by using the sp.layout command. The
drawing order should be the following: 1. rivers, 2. coast line, 3.
Karl Ove Hufthammer wrote:
However, since the ‘heatmap’ is really a density estimate, it integrates
to 1. I would instead want the heatmap colours to correspond to real
frequencies (of course, they do, but the actual mapping is not visible on
the colour scale).
I have been thinking a bit
Hi Klaus,
I recently wrote about the same problem, which Edzer has fixed with an
sp package update:
http://r-sig-geo.2731867.n2.nabble.com/spplot-1-filling-background-polygon-without-overwriting-foreground-polygon-2-left-justifying-sp-layot-td5615087.html#a5615087
Cheers, Lyndon
On Thu, Oct
Karl,
Thank you for that - some interesting ideas there. While not a solution for
you - I'm working on a similar problem and I've discovered mapserver(.org)
for the display side of things. It will handle rasters and shape files and
display them quickly on a google map background. It will also
Just answering your first question, you could call sm.density for each point
individually, then trim back to whatever level you want. Sum each grid for
each point and you might get a better trim.
Otherwise, you'd need to hack the density functions in kde2d or sm.density,
or maybe in KernSmooth to
On Wed, Oct 13, 2010 at 9:20 PM, kapo coulibaly kmcou...@gmail.com wrote:
I'm doing Groundwater Modeling and that is the appropriate input format for
the GUI I'm using (Groundwater vistas) for what I'm trying to do. Funny
enough I was able to create a dbf with 512 columns in ArcGIS but as I
sure.. and thanks, i have not tried it yet! will let u know about it! thanks
again!
Thanks,
Mahalakshmi Quoting Thiago Veloso thi_vel...@yahoo.com.br:
My suggestion is to convert your .grd files to self-descriptive
ones, for example netcdf. Considering that you have some experience
Hello Roger and everybody else.
I have another question about Weight Matrices. For one of my models I
estimate a pooled regression. Then, in order run the Moran test on the
pooled regression residuals I need to construct a spatial weights list
of the same dimension.
I already found the way
Dear list members
The GSHHS map data uses longitudes from 0 to 360, which causes problems
fetching maps around longitude 0. Example:
library(maptools)
gpclibPermit()
gshhs.c.b - system.file(share/gshhs_c.b, package=maptools)
xl=c(-30,30)
yl=c(50,80)
rmap=Rgshhs(gshhs.c.b, xlim=xl, ylim=yl)
Sean O'Riordain wrote:
Thank you for that - some interesting ideas there. While not a solution
for you - I'm working on a similar problem and I've discovered
mapserver(.org) for the display side of things. It will handle rasters
and shape files and display them quickly on a google map
Dear list members,
I download bioclim data in a raster format (estension: .bil) and I would
like to clip the variables to a ploygon stored as a shapefile (Costa
Rica outline).
How can I do that?
I read the raster file like this:
x - readGDAL(bio1_23.bil)
Thank you very much in advance.
Dear r-sig-geo,
I have data distributions (particle size distributions) and I have been advised
to separate parts of the distributions using jenks natural breaks procedure. I
am seeking a macro written directly for Statistica that can implement this, or
else I am seeking Jenks natural breaks
Hi,
with the raster package you could use: polygons to raster
(?polygonsToRaster), converting the Costa Rica shapefile to a raster
and then use mask (?mask).
Best
Johannes
On Thu, Oct 14, 2010 at 5:16 PM, Manuel Spínola mspinol...@gmail.com wrote:
Dear list members,
I download bioclim data
Robert,
I'm afraid I know nothing of the detail - but the ClassInt package does
implement a number of different breaks algorithms. Refer
http://cran.r-project.org/web/packages/classInt/ from which you can download
the sources of course.
Kind regards,
Sean O'Riordain
On 14 October 2010 16:26,
Oh right I was thinking about max number of characters in a text field.
It's possibly that the limit is based on the maximum number of bytes
that can be used to hold one record. So the number of Columns would vary
with how much data is actually in them.
Manuel,
if costarica is a SpatialPolygons* object, you can do:
r - raster(bio1_23.bil)
cr - crop(r, costarica)
Robert
On Thu, Oct 14, 2010 at 8:16 AM, Manuel Spínola mspinol...@gmail.com wrote:
Dear list members,
I download bioclim data in a raster format (estension: .bil) and I would
Thank you Roman and Johannes,
What I am doing wrong?
x - readGDAL(bio1_23.bil)
xr = raster(x)
map - readOGR(dsn=C:/ProyectoRespacial/EvalHab_reporte,
layer=Cr_wgs84_meso) # shapefile
r2 - polygonsToRaster(map, xr)
Found 1 region(s) and 1 polygon(s)
Error: no se puede ubicar un vector de
Thank you very much Robert.
That's works perfect.
Manuel
On 14/10/2010 10:21 a.m., Robert J. Hijmans wrote:
Manuel,
if costarica is a SpatialPolygons* object, you can do:
r- raster(bio1_23.bil)
cr- crop(r, costarica)
Robert
On Thu, Oct 14, 2010 at 8:16 AM, Manuel
On 14/10/2010, at 8:34 AM, Arnaud Mosnier wrote:
Dear GeoR users,
Is there a function to convert ascii grid (created with adehabitat kernel
function) into a points format (ppp or others).
I don't know from ``ascii grid'' or ``adehabitat kernel'' but it is possible
that you may find useful
Dear list members,
I am working with bioclim variables to model species distribution.
The files downloaded from Worldclim.org are generic raster files (.bil)
I transform this files to raster:
bio1 - raster(bio1_23.bil)
cr = readOGR(dsn=C:/ProyectoRespacial/EvalHab_reporte,
I think it should be:
res - mask(bio1cr, crmask)
On Thu, Oct 14, 2010 at 1:22 PM, Manuel Spínola mspinol...@gmail.com wrote:
Dear list members,
I am working with bioclim variables to model species distribution.
The files downloaded from Worldclim.org are generic raster files (.bil)
I
hi all I'm having problems with a shape file using the package with the
following statement rgdal.
*readOGR(dsn=/var/www/outputs/,layer=capa.dbf)
* get this error or this error:
*Error in ogrInfo(dsn = dsn, layer = layer, input_field_name_encoding =
input_field_name_encoding) : Cannot open
Maybe try not using NULL but NULL (which is default anyway, so you could
leave it out):
readOGR(dsn=**/var/www/outputs/**, p4s=NULL, layer=**capa.dbf**)*
I don't know about the asterisks - why are you using those in the second
call with p4s, and not the first, and why is the layer name
Thank you very much Robert,
Now I have this error:
me - maxent(bio1res, arb)
Error en .local(x, p, ...) :
more than half of the presence points have NA predictor values
It could be related to the raster bio1res? The origin of this file is
.bil files. Which is the best file format to
hi all I'm having problems, an IDW interpolation with the gstat package,
using:
*pruebar - idw(grado~1, prueba, prueba, idp = 2.0)*
and when I create an image:
*writeGDAL(pruebaR,prueba.tiff,type=Float32,driver=GTiff)*
get the following error
*Error: gridded(dataset) is not TRUE*
how I can
I'm using aggregate in the raster package.
It looks like it uses the coordinate pair of the northwest corner of the
original high res dataset as the new northwest corner of the aggregated
dataset. This would be right if the coordinates were taken to be grid
centered. But when I browse the data in
On Thu, Oct 14, 2010 at 8:11 PM, Elizabeth Crisfield ea...@psu.edu wrote:
I'm using aggregate in the raster package.
It looks like it uses the coordinate pair of the northwest corner of the
original high res dataset as the new northwest corner of the aggregated
dataset.
Correct, and the SE
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