If you don't receive a satisfactory answer here in a day or so, post
on the R-sig-geo list where the experts in this sort of thing hang
around.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley
Try fasterize, converting to spatstat from raster is straightforward, happy
to help.
https://github.com/ecohealthalliance/fasterize
Cheers, Mije
On Fri, 2 Jun 2017, 07:45 Rolf Turner, wrote:
>
> On 02/06/17 01:17, lluis.hurt...@uv.es wrote:
>
> > Dear all,
> >
> > I
On 02/06/17 01:17, lluis.hurt...@uv.es wrote:
Dear all,
I am currently working with the spatstat package, using windows and pixel
images.
First:
My aim is to transform a shapefile (see attached) into a pixel image.
My idea is to start transforming the shapefile into a Spatial Polygon
This looks like to would be better to ask on R-sig-geo, instead of R-help.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 6/1/17, 6:17 AM, "R-help on behalf of lluis.hurt...@uv.es"
OK. Two things are going wrong.
(1) There is an error in your code. You are passing the new.coef
argument to density() and not to rmh(). The function density() has no
such argument, but has a ... argument, so new.coef simply gets ignored.
You should use:
There was indeed a bug in rmh() w.r.t. the new.coeff argument.
The bug has been fixed and will not be present in the next release of
spatstat.
cheers,
Rolf Turner
On 16/09/14 16:30, Sebastian Schutte wrote:
Thanks so much for your comments. Sorry for not having sent a running
example from
You should use:
plot(density(rmh(mod,new.coef=c(1,200
Sorry, my bad, typo in the example code.
(2) However, even when the correct call is given you still wind up
with identical densities!!!
Hm. I think this may be a bug; I'll will check with the other
authors of spatstat and
Your example is not reproducible. We don't have cshape or im.pop
(and are possibly lacking other bits and pieces; I didn't check the
details since the example fails to run from the get-go). Please provide
a *reproducible* example.
Also I am puzzled by the line
mod - ppm (ppp, ~ pop ,
Thanks so much for your comments. Sorry for not having sent a running
example from the start. Here it is:
library (spatstat)
#Load example data
data(demopat)
#Generate a random point pattern within the polygon
set.seed(12345)
pdat - rpoint(200,win=demopat$window)
#Generate a distmap, which
There appears to be a small bug in the code. What is happening is that
occasionally there are simulated points that lie inside your triangular
window but do not lie inside any pixel of the image created from your
distorigin() function.
This will be fixed in a future release of spatstat.
On 07/07/13 22:12, catalin roibu wrote:
Dear R users,
Is there a possibility to extract only the r, CI's envelope and L function
from the output of spatstat?
I use this code
E - alltypes(df1, Kest, nsim = 100, envelope =
TRUE,savepatterns=TRUE,correction=isotropic)
And second question, is there
Why do you first say min(Datos$x) and then give the numeric value of this
minimum? Just delete all numerical values:
danta=ppp(Datos$x, Datos$y, c(min(Datos$x), max(Datos$x)),
c(min(Datos$y), max(Datos$y)))
or if you really want to type the numeric constants (probably a bad idea)
Questions about spatstat should be directed to the R-Sig-Geo list, or
better still, to the package maintainers.
To add a bit to what Blaser Nello has already told you:
(1) Your syntax in respect of the use of the min() function is indeed
incomprehensibly bizarre.
(2) Blaser Nello has
Questions about spatstat should be directed to the R-Sig-Geo list, or
better still, to the package maintainers.
To add a bit to what Blaser Nello has already told you:
(1) Your syntax in respect of the use of the min() function is indeed
incomprehensibly bizarre.
(2) Blaser Nello has indicated
Hello,
Try the following.
maintainer(spatstat)
[1] Adrian Baddeley adrian.badde...@csiro.au
Hope this helps,
Rui Barradas
Em 07-02-2013 02:05, Hiroshi Saito escreveu:
Dear sir,
Which mailing list is appropriate to ask for kstest in spatstat?
Regards,
Hiroshi Saito
You can solve this problem by actually *reading* the error
message. Evidently the object point is a marked point pattern
whose marks are in the form of a data frame.
So either:
(1) Do not create point as a marked point pattern --- i.e.
don't add a marks component when you create it,
P. S. I just noticed that you referred to the envelopes produced as
confidence envelopes.
They are ***NOT*** confidence envelopes!!! They are critical envelopes.
This is a very different concept. Repeat after me, 50 times:
critical envelopes, critical envelopes, critical envelopes,
It is also acceptable (and often useful) to ask on the R-Sig-Geo list.
Bug reports should of course be sent to Prof. Baddeley.
cheers,
Rolf Turner
On 02/08/2013 12:46 AM, Rui Barradas wrote:
Hello,
Try the following.
maintainer(spatstat)
[1] Adrian Baddeley
Thanks.
On Thu, 07 Feb 2013 11:46:36 +
Rui Barradas ruipbarra...@sapo.pt wrote:
Hello,
Try the following.
maintainer(spatstat)
[1] Adrian Baddeley adrian.badde...@csiro.au
Hope this helps,
Rui Barradas
Em 07-02-2013 02:05, Hiroshi Saito escreveu:
Dear sir,
Which
On 24/11/12 06:36, AMFTom wrote:
I normally use the following code to create a figure displaying the mark
correlation function for the point pattern process A:
M-markcorr(A)
plot(M)
I have now started to use the following code to perform 1000 Monte Carlo
simulations of Complete Spatial
Sebastian Pucilowski s.pucilow...@student.unimelb.edu.au writes:
What are the minimum number of points in a point pattern before a
clustering analysis using a Ripley K function loses any meaning?
It depends what are your definition of `meaningful'.
The K-function doesn't become meaningless
Yes I am an active spatstat use
On Wednesday, 28 March 2012, Rolf Turner wrote:
This is a cry for help. My apologies for taking up bandwidth
with an issue that is not really on topic. But I really do want
to acquire the requested information.
In the course of preparing my PBRF
No I am not an active spatstat user.
David Winsemius, MD
West Hartford, CT
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide
Further to my cri de coeur of yesterday, asking people to indicate
whether they are active spatstat users. I've had quite a few replies
but I'd like a lot more. Please answer; it'll only take you a few seconds.
Just reply to this email with a Yes (yes I am an active spatstat user)
or No (no I
On 16/03/12 23:02, Lucie V wrote:
Dear R users,
I wish to run spatial point pattern analysis (e.g. pair correlation function,
mark correlation function) for which I need to create an observation window
(window=owin) from which the spatial analysis is generated. The command I used
to create
Basically the problem is that you have a *VERY* old version of spatstat.
Upgrade!
Comments interpolated below.
On 05/12/11 21:52, karajamu wrote:
I forgot to change the header, so I guess no one read my mail. That's why I'm
trying it again...
Hello everbody,
I am new to this mailing
Hej,
Thanks for the idea. I will try and see if I can make progress.
+ I appologise for the shortcut explanations. I'll dedicate myself to
greater accuracy in future.
tkd
--
View this message in context:
http://r.789695.n4.nabble.com/spatstat-owin-image-tp3837023p3843284.html
Sent from the R
On 24/09/11 02:32, tkdweber wrote:
Dear Community
I am at my wits end and seek advice.
My wish is to plot coordinates (x,y in WGS84_UMTS for the ones interested)
of sampling points.
This I can do by the standard spatstat prodcedure via owin.
You appear to be rather confused from the very
On 16/04/11 15:50, Gregory Ryslik wrote:
Hi Everyone,
I am trying to figure out the spatstat package for the first time and am having
some trouble. Unfortunately, I can't post my data set but I'll hopefully post
enough details for some help.
I want to model the intensity of a spatial point
Hi Mr. Turner,
You are correct that I am confused a bit by the RCode. Basically, I have 3772
observations of data and only about 500 of them correspond to where people
exist. For the other observations, I just have the covariate values so I
thought that this was appropriate. Thus, where
On 17/04/11 02:17, Gregory Ryslik wrote:
Hi Mr. Turner,
You are correct that I am confused a bit by the RCode. Basically, I have 3772
observations of data and only about 500
500? You said 944 previously. Doesn't really matter, but.
of them correspond to where people exist. For the
On 17/04/11 02:17, Gregory Ryslik wrote:
Hi Mr. Turner,
You are correct that I am confused a bit by the RCode. Basically, I have 3772
observations of data and only about 500
500? You said 944 previously. Doesn't really matter, but.
of them correspond to where people exist. For the
You can't specify it in rthin, which I can understand for the simple
reason that this violates the independence of the sampling. If you put
a fixed limit on your resampling, the chance of being selected depends
on when some point is selected.
You could do it by hacking the object :
rthin.exact -
On 21/11/2009, at 12:01 AM, rudi1...@gmx.de wrote:
Hello,
could please somebody help me. I want to apply the mark correlation
function but for radii up to 75 meters (in 75 individual 1m steps).
Unfortunately, There is a sensible default for the values of the
argument r at which the mark
If 'X' is a data frame containing columns 'x', 'y' and 'value, try
m - with(X, tapply(value, list(y,x), all))
z - im(m, xcol=sort(unique(X$x)), yrow=sort(unique(X$y)))
w - as.owin(z)
This will only work if the x, y values form a rectangular grid in some
order.
Adrian
In the first instance, questions about contributed packages should be
addressed to the package maintainers rather than to the R-help list.
On 20/10/2009, at 2:06 AM, Javier PB wrote:
Dear users,
I am trying to export polygons from Arcmap into Spatstat to run some
simulations using functions
Richard Chirgwin wrote:
Hi all,
I am trying to install Spatstat on OpenSUSE 11.1.
install.packages(spatstat, dependencies = TRUE)
fails on the basis of various compiler packages (full message below).
I have gcc version 4.3.2, which should include gfortran and g++ - so I'm not
Peter Dalgaard wrote:
Richard Chirgwin wrote:
Hi all,
I am trying to install Spatstat on OpenSUSE 11.1.
install.packages(spatstat, dependencies = TRUE)
fails on the basis of various compiler packages (full message below).
I have gcc version 4.3.2, which should include
On 2/12/2008, at 4:30 AM, Gough Lauren wrote:
Hi all,
I'm using spatstat to investigate the spatial structure of an arid
shrub
population. The first-order intensity of my data does not appear
to be
homogenous, so I would like to use inhomogeneous techniques. I
realise
there is a
Gough Lauren wrote:
I'm using spatstat to investigate the spatial structure of an arid shrub
population. The first-order intensity of my data does not appear to be
homogenous, so I would like to use inhomogeneous techniques. I realise
there is a inhomogeneous K-function available in spatstat,
2008 05:34
To: R-help Forum
Cc: Gough Lauren; Rolf Turner
Subject: Re: [R] Spatstat help - quadratcount query
Gough, Lauren wrote:
I am using quadratcount in spatstat to divide a window containing a
point pattern into a grid of quadrats containing the intensity of
points in each quadrat
Gough, Lauren wrote:
I am using quadratcount in spatstat to divide a window containing a
point pattern into a grid of quadrats containing the intensity of
points in each quadrat.
However, when I look at the data for quadrat counts it seems the
function is not keeping the size of the
Arthur Weiss wrote:
Hi everyone,
I am using the package spatstat for ploting kernel maps of my data.
It is a marked point pattern, the result of mosquito surveillance in a
area in a week.
For each trap, the number of individuals captured is the mark of the
point.
plot(density(X,
On 10/10/2008, at 4:48 AM, Arthur Weiss wrote:
Hi everyone,
I am using the package spatstat for ploting kernel maps of my data.
It is a marked point pattern, the result of mosquito surveillance in a
area in a week.
For each trap, the number of individuals captured is the mark of
the point.
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