On Wed, 17 Feb 2010, Tyler Dean Rudolph wrote:
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
On Wed, 17 Feb 2010, Alexander Brenning wrote:
Hi,
there is an ArcGIS toolbox written by Mark Janikas from ESRI that links
ArcGIS/ArcMap/ArcCatalog with R through Python. This is more like a
proof-of-principle, it allows to access a point clustering method from R from
within ArcGIS. Don't as
Hi,
there is an ArcGIS toolbox written by Mark Janikas from ESRI that links
ArcGIS/ArcMap/ArcCatalog with R through Python. This is more like a
proof-of-principle, it allows to access a point clustering method from R
from within ArcGIS. Don't ask me for the details, but at least one of
the tw
Hi everyone,
I'm trying to model a binary response using logistic regression for a large
data set with spatial autocorrelation issues. The mixed models in SAS and R
that can include spatially correlated errors cannot handle the large NxN matrix
needed for their methods. Past around 700 meters
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
Hi Tyler,
Your example would have been more easily reproducible if it had
started with something like:
temp = list(x=-300358, y=748992.6, X2=-300450.8, Y2=748764.8)
library(spatstat)
...
library(maptools)
union = unionSpatialPolygons(polybuffs, ID=rep(1,
times=length(polybu...@polygons)) )
plo
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
Corrie:
I think you can use the function 'destPoint' in 'geosphere', It
computes (for longitude/latitude coordinate data) the coordinates of a
destination point given a start point, initial bearing, and distance.
Robert
On Wed, Feb 17, 2010 at 8:00 AM, Corrie Curtice wrote:
> Hello,
>
> I've tu
On Wed, 17 Feb 2010, Tyler Dean Rudolph wrote:
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))
Note that fr
Hello,
I've turned up little in searching for a package that already has this
function. Dspat is close but I don't think it does quite what I want.
I have observation data gathered from a ship transect doing a zig-zag
pattern. I have the current location of the ship, the ship's bearing,
the ang
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
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