similar to: Course on analysing spatial point patterns

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:

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,

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,

Dear R developers A question about the class 'listof', defined in package 'stats'. Other than its definition and use in the code for 'anova', we can't see that the class 'listof' is used for anything else (in recommended packages, or elsewhere). In the spatstat package we have been using a 'listof' to represent a list of spatial objects of the same

Hi all, I am using "spatstat" to investigate the spatial structure of some plant populations, but I have no idea about detecting the spatial point pattern with Thomas process based on pcf. Additionally, generating simulation envelope using this null model is another problem for me. I am not very familiar with R, so I hope anyone have any experience with this work can give me any

spatstat 1.11-0 Version 1.11-0 of package 'spatstat' is now available. Spatstat is a package for the analysis of spatial data, mostly point pattern data. See <www.spatstat.org> Important changes in version 1.11-0: New format for ppm objects (objects in old format are still handled). More stringent checking of function arguments. Improved handling of pixellation effects.

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.

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

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

Hello all, I'm attempting to conduct spatial analysis of trees within a plot. I want to see if the trees are spatially correlated to soil characteristics, say pH, or moisture content. I think one way to do it is with mpl, however, my soil characteristics were not taken at exactly the same locations as my trees and further, the vectors aren't the same length. I'm getting the

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

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 (performance based research funds) portfolio for the upcoming PBRF exercise here in New Zealand, I have been advised that I should provide some estimate of the number of "active users" of

Greetings - Is it possible, inside .First.lib, to find out the version number of the package that is being loaded? If only one version of the package has been installed, we could scan the DESCRIPTION file, something like .First.lib <- function(lib, pkg) { library.dynam("spatstat", pkg, lib) dfile <- system.file("DESCRIPTION", package="spatstat")

Ranjan Maitra writes: > Does anyone have a suggestion (or better still) code for sampling > from the uniform distribution over the convex hull of a set of > points? This is implemented in library 'spatstat'. If x and y are vectors of coordinates of your initial set of points, library(spatstat) W <- convexhull.xy(x, y) P <- runifpoint(42, W) will compute

I'm working with animal relocation data. These are x-y coordinates of radio-collared coyotes over a period of time. Relocations are far enough apart in time to be considered independent. We want to test if the pattern of space-use has changed from one year to the next. Relocations roughly follow a 2D Gaussian distribution, but points are often clustered near one or more

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

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, I'm have some data on a grid (specifically high throughput assay plates) and am interested in evaluating measures of spatial autocorrelation to flag plates for corrections. I have been using moran.test and geary.test from the spdep package. My approach is as follows: ## plate is a matrix of data coords <- expand.grid(1:32, 1:48) x <- as.numeric(plate) moran.test(x,

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