similar to: Analysis of 3-dimensional spatial point patterns

My client is using Samba to read information on their web server from SCO Open Server 5. They are having this problem: Windows holds old information, rather than getting new information from Samba once a file is updated. Is there any way to force samba to go and look for new data everytime Windows makes a request for data? Thanks! -- K-Tag: I've upped my standards. Now up yours! ------

Event: 2005 Insightful User Conference Dates: Oct 26-27, 2005 Location: Princeton, NJ URL: http://www.insightful.com/news_events/2005uc/ for details on pricing, hotel accommodations and to register for this event. The Insightful 2005 User Conference is being held October 26th-27th in Princeton, NJ. This year's conference focuses on the techniques and methodologies pivotal to the

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:

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

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

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

Hi! I have a problem with Kernel density estimate plot for 3-dimensional data in ks-package. Here the example: # load ks, spatstat # three-dimensional kernel density of B B <- pp3(runif(300), runif(300), runif(300), box3(c(0,1))) x <- unclass(B$data)$df H <- Hpi(x) fhat <- kde(x, H=H) plot(fhat) plot(fhat, axes=FALSE, box=FALSE, drawpoints=TRUE);

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.

Hello; Please coud you advise me of a simple way to select points (x,y coordinates) that fall within a polygon. I've got a set of polygons, each one defined by an arbitrary number of points, and several points inside each polygon. I know this is simple with a GIS, but I'd rather do it inside R. Thanks and best regards, Javier -----

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.

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, 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

I want to create a dataset in R with spatial correlation (i.e. clustering) built in for a linear regression analysis. Any tips on how to do this? Thanks. -- View this message in context: http://www.nabble.com/Need-help-creating-spatial-correlation-for-MC-simulation-tp19542145p19542145.html Sent from the R help mailing list archive at Nabble.com.

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

Under help(matrix) it is written: 'is.matrix' tests if its argument is a (strict) matrix. It is generic: you can write methods to handle specific classes of objects, see InternalMethods. Further down, under "Details", the meaning of "strict" is explained more explicitly: 'is.matrix' returns 'TRUE' if 'x' is a matrix

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

Hello, can any one point me to R-packages (if available) which include spatial Markov Chain methods? My second question is more general but hopefully not OT: Currently we are using the software TPROGS, which let people simulate property distributions in space by some Markov Chain approaches. We face some problems due to the lack of information between distances of samples along borehole path

Hi, Is there any package or functions in R that can perform tests and estimation for a spatial econometric model in a simultaneous system? Thank you!!! Xia Feng

hello which package do you recommend for spatial autocorrelation ? regards Ahmet Temiz ______________________________________ Inflex - installed on mailserver for domain @deprem.gov.tr Queries to: postmaster at deprem.gov.tr ______________________________________ The views and opinions expressed in this e-mail message are ...{{dropped}}

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]]