search for: kernel2d

...ment6\\DataSet_Redlands_Crime\\Redlands_Crime") library(foreign) library(splancs) auto_xy<-read.dbf("Auto_theft_98.dbf") rob_xy<-read.dbf("Robbery_98.dbf") auto.spp<-as.points(auto_xy$x/1000, auto_xy$y/1000) rob.spp<-as.points(rob_xy$x/1000, rob_xy$y/1000) image(kernel2d(auto.spp, bbox(auto.spp), h0=4, nx=100, ny=100), col=terrain.colors(10)) pointmap(auto.spp, col="red", add=TRUE) I would need to analyze the relationship betweeb the two Shapefiles, but I am receiving the following warning message and a blank output Xrange is 1827.026 6796.202 Yrange...

Dear forum, I would like to use the kernel2d or spkernel2d in the Splancs-package, but it does not recognize my polygon data. "Error in kernel2d(as.points(ptsbin), polygonprov, h0 = 2, nx = 100, : " is the error message. Invalid poly argument The data are defined as follows: polgonprov<-list(x=polyprov$X, y=pol...

Dear All, I am trying to visualize the surface of a bivariate kernel density estimate. I have a vector of bivariate observations(x,y), and a function which computes the kernel density estimate z corresponding to each observation. I cannot generate the (x,y) data in the ascending order needed by persp(x,y,z). I was wondering whether there is an R version of the S function interp. Would anybody

...n ArcMap shapefile), and have been unable to find tools to conduct such analysis in R. My biggest problem is determining the LSCV value and finding a tool that does weighted smoothing, as there are obviously many different packages that will conduct 2d kernel smoothing (kde2d{MASS} - gaussian, (sp)kernel2d in {splaces} -- quartic) and even those that do weighted 1d (density{stats}). Crimestat will conduct the smoothing (weighted or no) if I can determine LSCV values, so getting past that step alone would be excellent. Hlscv{ks} would appear to calculate LSCV for non-weighted datasets once I can parse...

Hi, I have a problem that concerns combination of the package Maptools and Splancs I have 2 shapefiles that i want to manipulate (one of type point and one polygon).I import them in R using Maptools but then i can't estimate a quartic Kernel using Splancs. The package doesn't recognize the shapes (invalid points and poly argument).I don't know if this is an easy task but i have

Dear listers, I was used to package pgirmess under Windows with everything OK, but, for the first time, I had a trial this afternoon on Ubuntu 7.10 gutsy (I have a double boot computer and work more and more under unix) and R 2.7.0. Everything went OK except this: sudo R CMD check pgirmess ..... * checking examples ... ERROR Running examples in 'pgirmess-Ex.R' failed. The error most