Hi,
I have recently ran into a problem with the 'crosstab' function, using
R.3.0 on
windows 7 64 bit. The raster package was downloaded with
> install.packages('raster')
yesterday (18/04/2013).
I did not have the problem using earlier versions of R (2.15.2) and raster.
When crosstabulating some
Jonathan,
I think you are confusing many aspects here...
The ENFA works on two objects:
* a PCA, which provides the environmental data;
* a vector, which provides the utilization distribution.
1) The PCA is build on the "data" slot of a SpatialPixelsDataFrame, which
stores all environmental ra
Someone in this server suggested me to use this code too. A while ago. I
just can't find the email
This code finds the closer between two set of points.
coords=coordinates(housing)
housing$x1=coords[,2]
housing$y1=coords[,1]
summary(housing)
DBout1810<-NULL
date()
for(i in 1:length(housing))
Thanks Jim.
You're right; that sounds much simpler and it makes much more sense.
SR
Steven H. Ranney
On Thu, Apr 18, 2013 at 3:08 PM, Robert J. Hijmans wrote:
> Steven,
>
> It would be much simpler to compute the distances between the two sets of
> points and then ask if there are any that ar
Steven,
It would be much simpler to compute the distances between the two sets of
points and then ask if there are any that are less than your threshold.
a <- cbind(c(1,5,55),c(3,7,20))
b <- cbind(c(4,2,8,65),c(50,-90,20,32))
library(raster)
d <- pointDistance(a, b, longlat=TRUE)
any(d < 200)
R
I'm new to the world of spatial analyses in R. I've done some searching
and reading around, but haven't found answer to my question. I may not be
looking in the correct place.
I have a series of references lat/long pairs (listA) that I'd like to
import into R and have R create a 200m buffer arou
Just a pointer to hopefully get you started:
see ?col2rgb and look at the alpha parameter.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 4/18/13 9:03 AM, "Seth Bigelow" wrote:
>Greetings:
>
>
>
>Could anyone advis
Hi Endri,
I assumed your distances were in a planar coordinate system. "Distances" in
decimal degrees don't really make sense, as decimal degrees are a spherical
system and distances need to be calculated and handled differently.
The results you got with:
simCoords(p,500)
[1] 125.7413 512.6246
Thanx Ashton,
Experimenting on a starting point from Google maps
p<-c(41.32217,19.802721)
> simCoords(p,500)[1] 125.7413 512.6246.
I suppose these are in radians and need to be converted?
using
> distances <- c(0., 0.02725136, 1.07634471, 1.15963225,+
>1.71421571,
Dear Endri,
do you simply wish to simulate coordinates for these locations? Because,
assuming you are working on a planar system and those distances are euclidean,
each of those distances is a radius for an infinite number of locations on a
circle around your bus stop.
Code like this might th
Hi Roman,
This distances reflect the distance of points (which coordinates I need to
calculate) from the starting point (bus stop). They represent bus travel
distance in different moments of time from a selected bus stop.I saw the
package* "geosphere"* has some of needed functions like
*destPointRh
What do these distances reflect? How did you calculate the distances?
Cheers,
Roman
On Thu, Apr 18, 2013 at 7:32 PM, Endri Raco wrote:
> Hi group,
> I am stacked in a problem like this.
> I have a bus stop with known coordinates.
> I generate in R language distances from this bus stop. Values
Hi group,
I am stacked in a problem like this.
I have a bus stop with known coordinates.
I generate in R language distances from this bus stop. Values of these
distances are like below
(in km)
0. 0.02725136 1.07634471 1.15963225 1.71421571 2.54945626
4.29135102 4.53532958 4.5851271
Hi group,
I am stacked in a problem like this.
I have a bus stop with known coordinates.
I generate in R language distances from this bus stop. Values of these
distances are like below
(in km)
0. 0.02725136 1.07634471 1.15963225 1.71421571 2.54945626
4.29135102 4.53532958 4.5851271
Pascal,
For polygons with a longitude/latitude CRS only, I think the function below
should work (based on Edzer's example and Bastien's suggestion to use
dist2Line (which, by the way, also works for polygons)).
dfun <- function(p1, p2) {
p1 <- makePoly(p1)
p2 <- makePoly(p2)
asPts = function(x)
Greetings:
Could anyone advise me how to make transparent polygons in plotKML? I am
overlaying polygons in a SpatialPolygonsDataFrame object into Google Earth -
Seems I can make the polygons any color (e.g., yellow - see example) except
transparent
plotKML(mySPDF, colour_scale ="#00")
Hello,
Is there an R package that interacts with google maps in a way that it is able
to calculate the distance in miles and minutes between a series of x and y
coordinates by car and walking (4 total distance measures) as you would be able
to do by manually plugging the coordinates into google
rai...@krugs.de (Rainer M. Krug) writes:
> Roger Bivand writes:
>
>> On Tue, 16 Apr 2013, Rainer M. Krug wrote:
>>
>>> Hi
>>>
>>> I am using spgrass6 with grass 7 and can report that it works so far
>>> without problems.
>>>
>>> Nevertheless, I have one question, which I already had about grass 6
Hello,
I don't have a clear solution for your problem, but I'll try to give you ideas
to where to look that may help you. If I understand well your problem, the
difficulty comes from the fact that you have two POLYGONS and that you are
looking for the COORDINATES.
You could transform your pol
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