search for: ripras

...y narrower lower and upper bounds for the variables. -9.802347e-17 1364.372 [ 0 0.01808660 , 9.990131 1364.372 ] ****************************** The program : ----- # Packages # library(spatstat) library(RandomFields) library(adapt) library(MarkedPointProcess) # Program # data(BITOEK) win <- ripras(steigerwald$coord) PointProcess <- ppp(x=steigerwald$coord[,1],y=steigerwald$coord[,2],window=win,marks=steigerwald$diam) plot(PointProcess) rfm.test(coord=steigerwald$coord,steigerwald$diam,MCrepetitions=19) ----- regards. Florent Bonneu Laboratoire de Statistique et Probabilit??s bureau 1...

Good day Im working with some coordinates, and want to create a PPP object, I found that error: > Datos=read.table("puntos_texto.txt",dec=".",sep="\t",header=T) > summary(Datos) id y x Min. : 1.0 Min. :1013581 Min. :1177842 1st Qu.: 821.2 1st Qu.:1014442 1st Qu.:1179658 Median

Given a set of coordinates that form an irregular sampling area, is there an R function to determine boundary points (coordinates defining the limits of the area), either with or without user interaction ? # for example, given the following irregular sampling area, how could I define the boundary polygon? library(SemiPar) data(scallop) plot(scallop$longitude, scallop$latitude) Thanks. --Dale

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.

Dear R-user, For the "matplot" of the following data drawn by >matplot(t, pch=1) structure(c(2372L, 2494L, 2170L, 2238L, 1918L, 715L, 1573L, 2437L, 2481L, 1881L, 440L, 2165L, 343L, 121L, 597L, 1163L, 1459L, 2093L, 1454L, 1761L, 1872L, 174L, 2040L, 552L, 1403L, 6381L, 1649L, 4136L, 4415L, 10650L, 12111L, 4397L, 9593L, 7040L, 3888L, 8340L, 11475L, 11413L, 3985L, 1077L, 7723L, 1392L,

Dear R users, I wish to run spatial point pattern analysis (e.g. pair correlation function, mark correlation function) for which I need to create an observation window (window=owin) from which the spatial analysis is generated. The command I used to create this observation window as follows: X1<- ppp(x, y, window=owin(c(80.58,144.96),c(101.06,165.13)),

I have the following data from an image analysis program, in which the x and y co-ordinates are locations of the centroids of shapes on a 2 dimensional plot. The Y co-ordinates were positive, but I changed them to negative as the resulting scatterplot was upside down (the image analysis program reads from the top of the image to the bottom, so it seems) I now need these as point pattern data, as I

Dear Community I am at my wits end and seek advice. My wish is to plot coordinates (x,y in WGS84_UMTS for the ones interested) of sampling points. This I can do by the standard spatstat prodcedure via owin. I then try to add an image, which is a map/satellite photo in the background. Firstly Problem: With the current code, I can not get the edges of the image to match the boarders of the plot

Hello, I am using the following code to create ppp files from csv data and map shape files, but I am getting some errors which I have been unable to fix by searching them online: library(spatstat) library(maps) library(maptools) NYC2<-readShapePoly("nybb.shp") # this is a map of the NYC boroughs without waterways and no census tract divisions (but it does include lines separating