and
CSIRO Mathematics, Informatics Statistics
Leeuwin Centre, 65 Brockway Road, Floreat WA 6014, Australia
Tel: 08 9333 6177 | Fax: 08 9333 6121 | Skype: adrian.baddeley
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WA 6014, Australia
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Adrian Baddeley FAA
CSIRO Mathematics, Informatics Statistics
Leeuwin Centre, 65 Brockway Road, Floreat WA 6014, Australia
Tel: 08 9333 6177 | Fax: 08 9333 6121 | Skype: adrian.baddeley
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In addition to Rolf's reply:
you can also extract the pixel values as a matrix using as.matrix()
Adrian
Prof Adrian Baddeley FAA
CSIRO Mathematics, Informatics Statistics
Leeuwin Centre, 65 Brockway Rd, Floreat WA 6014, Australia
tel +61 8 9333 6177 skype adrian.baddeley
to read one of the standard books e.g.Illian et al (2008)
Statistical analysis of spatial point patterns.
Adrian Baddeley
Prof Adrian Baddeley FAA
CSIRO Mathematics, Informatics Statistics
Leeuwin Centre, 65 Brockway Rd, Floreat WA 6014, Australia
tel +61 8 9333 6177 skype adrian.baddeley
skype adrian.baddeley
From: Rolf Turner [r.tur...@auckland.ac.nz]
Sent: Monday, 25 June 2012 8:09 AM
To: Yury Ryabov
Cc: r-sig-geo@r-project.org; Baddeley, Adrian (CMIS, Floreat)
Subject: Re: [R-sig-Geo] spatstat: rhohat and classified raster
If I understand
In spatstat, for a polygon window P and a point pattern X you can do
L - as.psp(P)
Z - project2segment(X, L)
Y - Z$Xproj
Then Y[i] is the nearest point to X[i] on the boundary of P.
Other components of Z give you the distance from X[i] to Y[i], etc.
Adrian Baddeley
On 22/06/12
, pooliso ~ r, shade=c(hiiso, loiso))
For further information including references, see help(pool.rat)
Prof Adrian Baddeley FAA
CSIRO Mathematics, Informatics Statistics
Leeuwin Centre, 65 Brockway Rd, Floreat WA 6014, Australia
tel +61 8 9333 6177 skype adrian.baddeley
In addition to Rolf's comments:
In spatstat version 1, all computations are performed using the Euclidean
distance. If your data were originally recorded as latitude, longitude
coordinates then ideally it would be better to measure the great circle
(geodesic) distance between
Lorenzo Cattarino l.cattar...@uq.edu.au writes:
I have a set of coordinates representing a shape (i.e. a square). I would
like to perform an Euclidean dilation operation,
i.e., find all the point that lie at a distance r from the shape contour. I
tried with the dilation function in the
Quets Jan jan.qu...@ua.ac.be wrote:
Hello all,
I have several issues with using plot.im to plot a density map.
This query is about the package 'spatstat'.
Please email the package authors first if you have a query, especially if you
want something fixed.
And if you want an answer, avoid
, Australia
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Matilde Karakachoff kar...@ifc.cnr.it writes:
I'm looking for some simple techniques of exploratory data analysis for a
one-dimensional spatial point process. For example I would test the CSR of
some (few) points in a line of length 5000 against the hp. that they cluster
in one or two
Quets Jan jan.qu...@ua.ac.be wrote:
is it possible to join several envelope (spatstat) objects into a single
object?
This is not currently supported.
I will take that as a request for the next version of spatstat.
Adrian Baddeley
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Jan Quets jan.qu...@ua.ac.be heeft geschreven:
suppose that I want to change the pcf function in such a way that it
doesn't 'use' the distribution of point-to-point distances,
but instead 'uses' the distribution of edge-to-edge distances.
[ ... ]
is it possible in spatstat to [... ]
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Raphael Saldanha saldanha.plan...@gmail.commailto:saldanha.plan...@gmail.com
writes:
How can I compute a distance matrix of points (citys) based on a highway
base map?
The 'spatstat' package has functionality for analysing point patterns on a
network of lines.
The function
The calculation of PointDensity described by Chris Fowler is *equivalent* to a
kernel density estimator. The kernel k(v) is equal to 1/(pi*r^2) when v is
inside the circle of radius r centred at the origin 0, and k(v) = 0 otherwise.
There are theoretical reasons for preferring a smooth kernel
Robin W Hunnewell rhu...@mac.com wrote:
I've used pixellate.owin() to convert an object of class owin to a pixel
image -- the owin in question is
unusual in that it contains multiple, overlapping polygons.
This is a question about the 'spatstat' package.
Out of curiosity - How did you
This topic arose on R-help:
smolukasmol...@geo.oregonstate.edu writes:
Can anyone tell me why I would get different average nearest neighbor values
for the same set of coordinates between ArcGIS 10 and R? Sometimes the
difference in distance is over 1.3 km.
There are several possible
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