similar to: Spatial data, rpoispp, using window with fixed radius?

Hello, I am fairly new to R, but I am not new to programming at all. I want to generate random clusters in a 1,000x1,000 box such that I end up with a total of about 2,000 points. Once done, I need to export the X,Y coordinates of the points. I have looked around, and it seems that the spatstat package has what I need. The rMatClust() function can generate random clusters, but I have run into

Dear all, I had to place points at random, one in each of larger number of polygons (actually in objects of class 'SpatialPolygonsDataFrame' , see sp library), and tried first to do it using spsample (from sp). Surprisingly, every 5-15 trials, the output was a NULL value. The doc says that ' this may occur when trying to hit a small and awkwardly shaped polygon in a large

Hi! How can I make a spatial sample? Can someone recommend theorical books and materials for this? -- Raphael Saldanha UFJF - Brazil [[alternative HTML version deleted]]

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

Imagine that I have a large number of points (given by coordinates x and y) that vary in density per space. For the purpose of demonstration it could be generated like this: s <- data.frame(x=runif(10000,0,900),y=runif(10000,0,900)); plot(s) I want to create polygons around the points where point density is greater than a selected threshold (for example, by using krieging or equivalent

Hi R users, This query is regarding the use of the 'envelope' function in Spatstat. My data can be represented as a point process with CONTINUOUS marks: points <- ppp(x=x,y=y, marks=m, window= wind) However the marks are alignments (lines), and so have to be treated differently to normal scalar marks. Hence to create a mcf object with the appropriate test function for alignment

I am trying to generate two dimensional random coordinates. For randomly distributed data I have simply used >xy<-cbind(runif(100),runif(100)) However I also want to generate coordinates that are more uniformly distributed, and coordinates that are more contagiously distributed than the above. Can anyone make any suggestions Thanks. Dr Terry Beutel Rangeland Scientist Animal

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

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:

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

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

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,

Our computing services people have recently reconfigured the Sun compilers structure on our network, and I can no longer install, on our Sun/Solaris machine, a certain package (spatstat) with which I am heavily involved. (The same problem may well pertain to other packages as well; I haven't yet experimented except with spatstat.) Strictly speaking I can ***install*** it, but when I try to

Full_Name: Georg Roth Version: R.2.0.1.for Windows OS: Win98 Submission from: (NULL) (134.95.43.165) Using libraries "spatstat" and "sm" on R.2.0.1. under Windows 98 bug 1) the libraries "spatstat" and "sm" are not properly identified by the "library()" command on R.2.0.1. (R for Windows98). the libraryname is shown in upper case

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 sure what to do! Richard * Installing *source* package ?deldir? ... ** libs gfortran

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

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

Today I installed the newest R develepment branch R version 2.14.0 Under development (unstable) (2011-03-18 r54866) on FreeBSD 9.0-CURRENT (amd64). All seems fine so far. After that I updated my R packages with option 'checkBuilt=TRUE'. There are four packages (spatstat, pscl, adehabitatLT, adehabitatHR) which gives an error like this: Error in dyn.load(file, DLLpath = DLLpath, ...) :

Hi, I tried to install spatstat using: install.packages("spatstat", dependencies = TRUE, lib = "./R/i486-pc-linux-gnu-library/2.8") but got the following msg: --- Please select a CRAN mirror for use in this session --- <here i selected one mirror, and tried several mirrors) Loading Tcl/Tk interface ... done Warning message: In install.packages("spatstat",

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