similar to: N-dimensional delaunay tesselation & voronoi diagrams

There's Renka's STRIPACK, and TRIPACK, respectively, ACM TOMS Algorithms 772 and 751, and there's the R package "deldir" which does the Delaunay for a plane, but does anyone have or know of the tessellation in R for a sphere? Also, is there a standard indexing scheme for Delaunay facets, and perhaps of edges in such facets? I'd expect that to be a publication reference,

Dear R-users, Does anyone know how to do weighted Voronoi diagrams (Dirichlet tesselation) in R? To be more specific, I have a set of coordinates for tree locations on a plot, and I'm looking for a way to do the tesselation so that the polygon size for each tree depends on the size of the subject tree, and the size of its neighbors. So, the location of the bisection between two trees

Okay, been working with tripack, seems the most mature package for this. Got it to work well with their test data set - data(tritest). When i tried random numbers to explore further, i am getting some results that don't reconcile. example run this: library(tripack) y <- runif(100) x <- runif(100) vm <- voronoi.mosaic(x,y) plot(vm) par(new=T) plot(x,y,col='blue') when

A package for calculating and plotting the Delaunay triangulation and the Dirichlet/Voronoi tessellation, of a planar set of points, is now available from CRAN. The package is called ``deldir''. The package consists of a port from Splus to R of a library section which has been available for some time from the Splus software segment of statlib. (The Splus library section is called

Hi, does anyone know if there is an implementation of qhull (http://www.qhull.org/) in R? anyone is planning on it? "Qhull computes convex hulls, Delaunay triangulations, halfspace intersections about a point, Voronoi diagrams, furthest-site Delaunay triangulations, and furthest-site Voronoi diagrams. It runs in 2-d, 3-d, 4-d, and higher dimensions. It implements the Quickhull algorithm

Dear R helpers, I try to use the 'delaunayn' function in the 'geometry' package for Delaunay triangulation in 2 dimensions. For the four following points, I get a warning message : > coord=matrix(ncol=2,byrow=TRUE,c(622633,7073452, + 621228,7073517, + 621879,7071762, +

Hello. I'd like to convert voronois object created by tripack to polygons to use them in GIS(Geographic Information Systems) software. I tried to create voronoi objects by using following code. > library(tripack) > x <- rnorm(10) > y <- rnorm(10) > plot(x,y) > v<-voronoi.mosaic(x,y) > plot(v) But from here, I could not create polygons. Of course, I know

I just looked at the data at the URL you posted and it looks like it consists of all the points in a rectangular grid. When you triangulate a rectangle it is arbitrary whether you use the SW-NE or the SE-NW diagonal and that looks like the only difference between the various algorithms. Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, Jan 25, 2018 at 5:14 AM, Yuen, Kam <k.yuen at

"The question is, what is making the results for the R packages different from each other?" There are literally thousands of R packages, contributed independently by thousands of people. There should be no expectation of consistency or for that matter, "correctness", among them. Caveat emptor. Only within the base R distribution, maintained and mostly written by the R Core

Hello list, I'm just getting started with using R - I have been trying over the past day or so to work out a method for generating voronoi polygons for PostGIS using SQL. I was able to put together a procedure which works relatively well, but is somewhat inefficient. Someone on the PostGIS list pointed me to the deldir() function in R, for which I can export a text file with x/y coordinates

The problem: I would like to translate the Octave algorithm in griddata.m to R. Within the griddata algorithm calls are made to the Delaunay function. For the R translation I have found delaunayn within the "geometry" package and also the deldir package. Both do similar things but give slightly different results depending on the input. The question is, what is making the results for the

Is there any pure r code to do delaunay or voronoi diagrams? Thanks! --------------------------------- [[alternative HTML version deleted]]

Hello everyone I have a problem with tripack package, I want to perform a Voronoi tessellation on a specific domain (I have the shape file), in order to weight my climatic data with the area ... How Can I do it? Thank you very much Andrea

Hello, Here is a late answer, but an answer nonetheless to the question I asked almost one year ago on this list: > On Wed, 29 Mar 2006, Thibaut Jombart wrote: >> Hello list, <http://tolstoy.newcastle.edu.au/R/help/06/03/24318.html#24322qlink1> />> / />> does anyone know if Monmonier algorithm is available in R? I've checked / />> several spatial

I would like to create a voronoi map that can show me point values like the ones in colum street_cle. I was able to do it in tileplot(latticeExtra) like the ones attached, and with the following commands: xy=list(x=x2$X, y=x2$Y) xy$street_cle <- x2$street_cle tileplot(street_cle~ x*y, xy) But this is a trellis. Is it possible to be converted to a shapefile or image so I can plot it using

Hi all, I am running R 2.5.0 under Windows XP Media Center Edition. Here's a problem that's been stumping me for a few days now, and I can't find anything useful in the archives. I am using voronoi.mosaic (tripack package) to create proximity polygons for a study of vegetation competition and dynamics. The points lists are read in from a file for each plot, then 8 duplicates

Hi, I have a number of web services that run on a server and can be accessed via SOAP as well as by creating a specific URL. Now, for certain services, the argument that I need to send is about 10 to 20 characters and the URL approach works fine. However if the argument is a few kilobytes I would rather create a SOAP packet and send that off. So my first question is: is there a package that

Good evening to all. I find myself trying to create some Thiessen Polygons, in order to finish a meteorology research. This is the script I found to create the Polygons: * * *voronoipolygons <- function(x) {* * require(deldir)* * if (.hasSlot(x, 'coords')) {* * crds <- x@coords * * } else crds <- x* * z <- deldir(crds[,1], crds[,2])* * w <- tile.list(z)* * polys

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Hi all, Given a number of points (x,y) in a plane, I'd like to plot a map of polygons, so that 1) each polygon contains exactly one point 2) the polygon defines the area for which this specific point is closer than any other point. It's a bit like a map of areas "influenced" by that point, and it's obviously a matter of intersecting the perpendicular bisectors