similar to: How to detect the spatial point pattern with Thomas process based on pcf

Hi all, I am using "spatstat" to investigate the spatial structure of some plant populations, and I want to detect these patters with IPP and a Thomas process based on pair-correlation function. I know the function "pcfinhom" is available to characterize the IPP, but I have no idea about how to use the pcf with Thomas process? Additionally, generating simulation envelopes

To understand some functions about spatial point patterns in "spatstat" ,I should know some background about it, and the best way is to read the monograph, and "Statistical Analysis of Spatial Point Patterns" (2nd edt.) is a better choise. But I can not find it anywhere I can. Who can help me? Thank you! ----- unangu at gmail.com -- View this message in context:

A full set of course notes on 'Analysing spatial point patterns in R' is now available at <http://www.csiro.au/resources/pf16h.html> The course is based on the package 'spatstat'. It includes a brief introduction to R, a detailed introduction to the 'spatstat' package, and a discussion of statistical methodology. Adrian Baddeley

I am trying to determine how to evaluate homogeneity of points in three-dimensional space. In two-dimensional data, I have used functions available in the Spatial package and I've have looked into the spatstat package but, as far as I can tell, neither appears to handle 3-dimensional data. Is there another version, package, or software that does the same type (G-function,

Hello, I have fitted a Log-Gaussian Cox Process on my data but when I try to use "simulate.kppm" of the spatstat package I get this error: Error in rLGCP(model = model, mu = mu, param = param, ..., win = win) : The spatial domain of the pixel image ?mu? does not cover the simulation window ?win? I've used covariates as im, changed the npixel value of the spatstat options to

Rainer M Krug writes: > Thorsten Wiegand used in his paper Wiegand T., and K. A. Moloney 2004. > Rings, circles and null-models for point pattern analysis in ecology. > Oikos 104: 209-229 a statistic he called O-Ring statistic which is > similar to Ripley's K, only that it uses rings instead of circles. > > http://www.oesa.ufz.de/towi/towi_programita.html#ring

Dear Lists, At several stations distributed regularly in space[1], we sampled repeatedly (4 times) the abundance of organisms and measured environmental parameters. I now want to compare the spatial distribution of various species (and test wether they differ or not), or to compare the distribution of a particular organism with the distribution of some environmental variable.

Hi, I am trying to use the R package 'spatstat' for generating spatial poisson point process graphs. I can create a point pattern using the following commands: pp <- rpoispp(.01, win=owin(c(0,100),c(0,100))) and also view the resulting graph by: plot(pp) But how can I export the generated point pattern to an external file so that I could use it as input for some network

On 13/09/17 13:24, K?tia Emidio wrote: > Dear Rolf, > > Thanks for your help! > > What I need is a spatial window with shape equal to the figure attached. > This figure I made using ArcGis, but it is important to me make it in R. > After having this figure I will make some analysis using spatstat among > others. The points within figure are trees... (1) I believe that

Hi all, before I roll my own, naive implementation of a particular spatial point process, I thought I'd ask whether this has already been done. Specifically, I am looking for essentially the opposite of the Strauss and Mate'rn processes included in library(spatial) and documented in MASS. I am examining daily travel patterns, focusing on just the destinations of trips, not the

resending to provide a more informative subject line.... On Fri, Jan 2, 2009 at 3:21 PM, Kingsford Jones <kingsfordjones at gmail.com> wrote: > Hi David, > > A general answer to your question is: yes, R would be useful for such > analyses - particularly when interfaced with a GIS. For an > introduction to the types of spatial tools available in R see the Task > View for

Hi all, I am wondering if there is a function available in R for simulating spatial distribution of objects (plants in this case) in order to simulate sampling of a population . Specifically, I would like to be able to change the spatial correlation of individuals. I don't want to reinvent the wheel if it already exists. Thanks, Wade

Greetings, I would like to use some of the spatial statistics functions in R, but I am having trouble entering data. My data is already in a distance matrix format, not an X Y coordinate format (each Xij cell in the matrix represens the distance from point i to j). Does anyone know of a way to convert a distance matrix to a ppp object in spatstat, or an X,Y coordinate system for other

Hi, I went ahead and implemented something. However: - I cannot garantie it gives correct results since, unfortunately, the data used in Syrjala 1996 is not published along with the paper. To avoid mistakes, I started by coding things in a fast and simple way and then tried to optimize the code. At least all versions given the same results. - As expected, the test is still quite slow

I'm new to spatial analysis and am exploring numerous packages, mostly enjoying sp, gstat, and spBayes. Is there a function that allows the user to dedup a data set with multiple values at the same coordinates and replace those duplicated values with the mean at those coordinates? I've written some cumbersome code that works, but would prefer an efficient R function if it exists.

Hi, i am using spatstat package for spatial data analysis and now i have a problem to create a point pattern. The points are in file "points.txt" (first column for Latitude and second column for Longitude ) and I imported them and separated each columns in two arrays x and y. If I plots x and y ( e.g plot(x,y) ) the result appears in square area without problems and the scale is

Dear All, I was searching through the spatstat manual in order to find a function to simulate a Poisson pattern only within a fixed radius (circular moving window) around individual points. If points are distributed heterogeneously over a large area this may help to only assess deviation from CSR within the window and thus does not require additional information on a covariate. I could not find

A new version 1.9-5 of the package `spatstat' has been uploaded to CRAN. What it is: ---------- spatstat is a package for analysing spatial data, mainly Spatial Point Patterns. What's in it: ------------ Functions for exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns,

A new version 1.9-5 of the package `spatstat' has been uploaded to CRAN. What it is: ---------- spatstat is a package for analysing spatial data, mainly Spatial Point Patterns. What's in it: ------------ Functions for exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns,

Hi, I am a graduate student at the University of Maine in forestry. I am studying spatial pattern analysis of tree regeneration. My study design is a contiguous grid in which regeneration is completely sampled, and hopefully analyzed using surface pattern techniques. I am also interested in examining the relationship of the regeneration density with overstory trees, which have a GPS location,