similar to: UDP Vs. TCP

I think you will be VERY interested int he next upcoming release of SAM2 - www.spacialaudio.com Bryan ----- Original Message ----- From: "Shaun Mcmanus" <smcmanus@twcsd.com> To: <icecast@xiph.org> Sent: Sunday, February 23, 2003 7:41 AM Subject: [icecast] DTCR Project <p>> Disturbed Transmitter Community Radio Project > > The Need: > Where I live there is

>Multicasting would be more interesting, but firewalls would again >be an issue. >Mark Multicasting would be more interesting but not feasible for the project. The design has to be able to feed multiply end points while those end points can change sources at will as well as generate their own stream. Some of the broadcasts will be timed (on-air slots) say Friday night 1900-2200. ---

I haven't touched IceCast yet, but I evaluating it for a project. On the website it says it uses TCP for streaming, is there an option of UDP? Wouldn't UDP be better for a large amount of streams? Thanks --- >8 ---- List archives: http://www.xiph.org/archives/ icecast project homepage: http://www.icecast.org/ To unsubscribe from this list, send a message to

Hi! Is there a way to manually costumize the color legend in an spplot() - especially where to draw ticks and labels for the ticks? The reason I'm asking: Usually spplot() automatically divides the data into fitting slices and makes a color legend (also automatically). I want to assign the slices myself and have a fixed scale instead of an automatic/dynamic scale. I think what I want

>That and the lack of Multicast deployement on most backbones/regional networks. > >The other issue is that UDP tends to be a dumb protocol, especially when >dealing with network congestion. It doesn't deal, where TCP has some back-off >mechanisms. Of course, where you are streaming something, that may be more >detrimental depending on the b/w of the stream. > >-Steve

Hi! Is there a way to manually costumize the color legend in an spplot() - especially where to draw ticks and labels for the ticks? The reason I'm asking: Usually spplot() automatically divides the data into fitting slices and makes a color legend (also automatically). I want to assign the slices myself and have a fixed scale instead of an automatic/dynamic scale. I think what I want gets

Soon on CRAN a new version of package gstat will emerge, which has a few minor changes and possible incompatibilities w.r.t. the previous version(s). The new gstat (0.9-23) now: + depends on sp, and uses internally with Spatial* classes from sp if data are provided in the old-fashoned way (as data.frame) + has a vignette to get you started with the classes in sp + defines krige as a generic;

Soon on CRAN a new version of package gstat will emerge, which has a few minor changes and possible incompatibilities w.r.t. the previous version(s). The new gstat (0.9-23) now: + depends on sp, and uses internally with Spatial* classes from sp if data are provided in the old-fashoned way (as data.frame) + has a vignette to get you started with the classes in sp + defines krige as a generic;

Hello all, A question for plotting of intamap results : Is it possible, and in so, how, to specify the cutoff points for changing colors of plots ? Using the example : data(meuse) meuse$value = log(meuse$zinc) data(meuse.grid) coordinates(meuse) = ~x+y coordinates(meuse.grid) = ~x+y object = interpolate(meuse,meuse.grid,outputWhat = list(mean = TRUE, variance = TRUE, excprob = 7, excprob = 8,

Hi, I am very new to R and I am trying to write KML files. I am running R-2.13.1 and I have the following packages: - AKIMA - RGDAL - RSAGA - SP I was trying to run the simple example that I found at the following web page: http://spatial-analyst.net/wiki/index.php?title=Export_maps_to_GE The lines that I can run are: data(meuse.grid)

I uploaded gstat 0.9-12 to CRAN, which has a few important changes: 1. Cokriging cross validation Cokriging cross validation is now possible with the function gstat.cv: you simply pass a multivariable gstat object, and cross validation is done for the first variable in the object. Optionally, secondary variable records at locations coinciding with the validation locations are removed. 2. Class

I uploaded gstat 0.9-12 to CRAN, which has a few important changes: 1. Cokriging cross validation Cokriging cross validation is now possible with the function gstat.cv: you simply pass a multivariable gstat object, and cross validation is done for the first variable in the object. Optionally, secondary variable records at locations coinciding with the validation locations are removed. 2. Class

Hi! How does one change the background color of the map-panel in spplot()? Example: library(sp) data(meuse.grid) gridded(meuse.grid) = ~x+y spplot(meuse.grid, "part.a") How would I get another background-color for the map-panel (but not for the whole plot) here? Thank you! Marcel

This is a new branch of an old thread, made necessary because the email system here purges sent messages after a period of time so I can't reply to the last message in the thread. The operative portion of that last message (retrieved from the archives and dated July 3, 2023) follows: /*****/ So I set up a fresh key to use for this test, and gave it similar parameters. I wasn't aware of

The following came up when Roger Bivand and I discussed R's name spaces and overlap in packages, in the bus to the field trip during StatGIS, last Tuesday: If two packages create the same class, say "variogram", and both are loaded, then using a method for an object of class "variogram" cannot discriminate between them and will call the method in the package loaded last.

Hi ALL, With the pakage gstat How can one create a grid of points as in the meuse.grid example, from measuring sites as in the Meuse example Thanks in advance! Alain PONSERO Conservateur Réserve Naturelle de la Baie de Saint-Brieuc site de l'Etoile 22120 HILLION tel/fax : 02.96.32.31.40 <mailto:aponsero@cabri22.com> aponsero@cabri22.com

Using S+ 6 for Linux and R 1.4.1 Taking verbatim some lines from S-Plus that work perfectly, and running them on R, I get an unexpected error message: R : Copyright 2002, The R Development Core Team Version 1.4.1 (2002-01-30) > library(MASS) > data <- read.table("/usr/local/data/mcmanus.dat",header=T) > mcmanus.frm <-

Much like time, spatial locations are not likely to change for observed data. Still, R has no infrastructure or knowledge about spatial locations. Many packages that deal with spatial data in R use their own classes to deal with spatial data. On the workshop on spatial statistics software held during DSC2003 (organized by Roger Bivand), we decided that a base class that defines classes for

Hi, please help!! I've been trying to fit variogram models using the REML method in the gstat package. Every time the Windows GUI crashes. For example library(gstat) data(meuse) x <- variogram(zinc ~ 1, ~x + y, meuse) v <- vgm(140000, "Sph", 800, nug = 10000) plot(x, model = fit.variogram(x, model = v, fit.method=5)) Other fit methods are non problematic (eg. fit.method=7

Folks, I'm curious if the documented behavior of portable OpenSSH (specifically Linux) may be at odds with the actual behavior I have seen in my experiments. Here is the background: I manage an application which collects data from a client script (Korn shell) which runs on Unix and Linux servers across the entire enterprise. The client communicates with a Linux server (currently running RHEL