urther, if your descriptive values are actually text then GDAL cannot
> > represent them - only numeric types are supported, even though the
> > rasters in R can have text/character types.
> >
> > Cheers, Mike.
> >
> > On Thu, Nov 11, 2010 at 11:35 AM, Tyler Dean Rud
I have a pretty simple code to extract cell values from a habitat map
(RasterLayer) based on xy coordinates. I recently updated habitat
information with a new raster image but for some reason now when I read in
the values it's as though they are no longer being interpreted as discrete
values, so i
name="Bird 412",
standardized=FALSE)
##
## Inspect spatial range derived by maximum likelihood
d412.fit$theta[1]
range
0.3969813
Tyler
On Mon, Jul 26, 2010 at 2:58 PM, Tyler Dean Rudolph <
tylerdeanrudo...@gmail.com> wrote:
> Hi John and thanks
se the smoothing parameter from the kernel
> estimator at the starting estimate. 250 would be correct in the jay cases.
> John
>
> - Original Message -----
> *From:* Tyler Dean Rudolph
> *To:* r-sig-geo@stat.math.ethz.ch
> *Cc:* Mark S. Handcock ; John M.
> Marzluff
>
Two parameters are required in order to fit a Resource Utilization Function
to spatial attribute data using ruf.fit, 1) *spatial range* and 2)
smoothness (theta). With regard to the spatial range parameter, rho,
Marzluff et al. (2004) state this to be the range of spatial dependence in *
metres*.
t mind getting a third or fourth opinion.
Tyler
On 2010-07-14, at 5:33, Roger Bivand wrote:
On Tue, 13 Jul 2010, Tyler Dean Rudolph wrote:
I've been constructing utilization distributions for 63 animal
movement
trajectories using a Brownian bridge movement model with BBMM. I
star
I've been constructing utilization distributions for 63 animal movement
trajectories using a Brownian bridge movement model with BBMM. I started
noticing after running the routine numerous times at different resolutions
that certain UDs would be grossly wrong, meaning instead of returning a
s
nge)/nx. The pixel centre coordinates are then xcol <-
xrange[1] + xstep/2 + xstep * (0:n).
If you want pixels to be exactly 25 metres in size, either change the
xrange, yrange values, or use the 'xy' argument, see as.mask
Hope this helps
Adrian
On Thu, Feb 18, 2010 at 2:41 AM, Rog
When I specify eps=25 (m resolution) in a call to distmap...
> library(spatstat)
> temp <- data.frame(x=-670049.2, y=752814.6, X2=-669961.9, Y2=752648.2)
>subwin<-owin(xrange=c(-100, 100) + sort(c(temp$x, temp$X2)),
yrange=c(-100, 100) + sort(c(temp$y, temp$Y2)))
>trajpsp<-psp(te
I've been attempting for many moons to develop a function which will allow
me to place a buffer of adjustable radius around an animal's movement
trajectory with which I may extract underlying pixel values from a raster of
environmental data. I would like to be able to extract the habitat values
us
Here is another way to compute buffered polygons around points:
## One record (point) at a time (buffer of 25m radius)
> temp
xy
1 -300358 748992.6
library(spatstat)
discbuff<-disc(radius=25, centre=c(temp$x, temp$y))
library(sp)
polybuff<-SpatialPolygons(list(Polygons(list(Polyg
y use the
following
> writeSpatialShape(ranslines, "C:/GIS/ranslines")
...but this is different from what Michael has proposed.
> writeOGR(sldf, ".", "ranlines", "ESRI Shapefile")
Is one method better than the other?
Tyler
On Tue, Feb 16, 2010 at 4:06 A
I have searched extensively for some good examples or documentation on how
to create a SpatialLinesDataFrame and for the life of me have found zilch.
This does not mean there is no such thing available, it just means that
wherever it is it is not readily accessible through the circuitous pathways
o
Is there a way to convert a kde object (ks package) into a spatial object
(e.g. SpatialPixels, SpatialPolygons) for export into a GIS? Alternatively,
is there a way to generate the 2-D spatial area underneath the 3-D
utilisation distribution of a kde object? I have explored the package
descripti
This seems to work, at least until the polygonal owin object is created...
here<-convexhull.xy(vertices(dilate.owin(convexhull.xy(mydata),0.2)))
However the conversion to a Spatial Polygons object does not seem to work
(using spatstat 1.15-3 and maptools 0.7-22):
> as(here, "SpatialPolygons")
*Err
I know R is not meant to do all things a GIS would do but is there no simple
way to create a buffer around a spatial object?
I'd like to create a buffered minimum convex polygon around a set of points
and write the buffered polygon to a shapefile. I have two columns, x and y,
for the geographic l
I feel like I'm onto something with dataType() yet regardless of how I
assign my RasterLayer object I can not simply save the object as is (1 KB
only, corrupted). I realize through saveAs I can convert and save it to
other formats, but is there not a way of retaining the size advantages of
the Ras
I have yet to find a computer robust enough to import my landscape-level
habitat data in one foul swoop (835 MB). I tell myself once I do succeed I
can save it as an R object, at which point it will be much smaller and
easier to handle, but it seems another option that may be possible is to
specif
and wrote:
> On Fri, 27 Mar 2009, Tyler Dean Rudolph wrote:
>
> I have no trouble importing a subset of a road network for my study area as
>> a shapefile into R, but when I try to import the complete network (area
>> equivalent to approximately 30,000 km^2), I get the following
There is a function that does this well called psp() in the spatstat
package.
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y, window = window, marks = marks)
3: as.psp.SpatialLinesDataFrame(from)
2: asMethod(object)
1: as(roads, "psp")
Why does this error occur now when it works fine for a subset of the same
data? Is there a fix that could help with this problem?
Tyler
On Sun, Mar 29, 2009 at 11:21 AM, R
Here are the sessionInfo() and traceback() results following the failed
import. It looks like I am not using the most recent version of sp so I am
trying to figure out the terms in the call to update.package() and with the
most recent version I will try again. The .shp file is ~30 megabytes and
t
I have no trouble importing a subset of a road network for my study area as
a shapefile into R, but when I try to import the complete network (area
equivalent to approximately 30,000 km^2), I get the following error message
(even when I split up the two class formats into two separate commands):
>
The answer I have found is both clear and straightforward:
require(maptools)
IloveR<-as(as(readShapeLines(fn="mylinedata.shp"), "SpatialLines"), "psp")
I was hoping someone might be able to point me in the direction of something
like this but I was fortunate enough to stumble across it in one of
Am I missing something or is all the spatial-related R knowledge that is to
be found in the R-sig-Geo forum not accessible by way of a simple search
engine? If not I would hope this to be forthcoming At present I am
going through the archives one month at a time and it is simply not working!
Hi there,
I have a spatial road network for which I would like to construct a
"distance map" as in the distmap() function in the spatstat package.
However this function only seems to readily accept .ppp, .psp, and owin
objects. How can I import my data into a format that can be used to create
a d
I am trying to find the best way to turn some representation of a line
based on 2 pairs of xy coordinates into ascii format in order to extract
habitat information associated with used versus randomly generated
animal movement paths.
I have approximately 33,000 observations (trajectories) to proc
Hi there,
Nestled deep within the "polygons" slot of my SpatialPolygonsDataFrame
object is a list of xy coordinates I would like to extract. Using
coordinates() only produces a single xy pair associated with the polygon
(1st entry? Centroid?) and I cannot for the life of me manage another way,
t
Hi all,
For every unique "i" in 1:nrow(mydata) I have two sets of spatial "x" and
"y" coordinates, one set for the start of the line (c("x", "y")) and another
set for the end of the line (c("X2", "Y2")). Essentially I am looking for
the simplest and fastest way of creating a series of coordinates
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