similar to: Samba -> WinXP: slow transfers, partial solution

Hi all. I''m going on my 3rd week trying to get a simple traffic shapping to work the right way :( !! My goal it to shape the traffic coming from one machine (pc1) to another machine (pc2) throught the "eth0" interface. My test configuration is as follows: PC1   IP: 192.168.105.237   Mask: 255.255.255.0   OS: Red Hat Linux Kernel 2.4.20-8   Rules:

I was comparing some traces from SCP and SFTP when transferring the same file 200MB file between the same host pairs. Even when I put SFTP in batch mode I noticed that I saw 403208 bytes from the receiver in comparison to 3368 bytes with SCP. I've attached the relevant output from tcptrace below (the b->a column is the return side of the trace). Mostly I'm just curious as to what

Dear all, I am currently working with the spatstat package, using windows and pixel images. First: My aim is to transform a shapefile (see attached) into a pixel image. My idea is to start transforming the shapefile into a Spatial Polygon file: x <- readShapeSpatial("200001441.shp") y <- as(x, "SpatialPolygons") z <- as.owin(y) Given z, I want to identify each

On 02/06/17 01:17, Lluis.Hurtado at uv.es wrote: > Dear all, > > I am currently working with the spatstat package, using windows and pixel images. > > First: > > My aim is to transform a shapefile (see attached) into a pixel image. > > My idea is to start transforming the shapefile into a Spatial Polygon file: > > x <-

I am a new user of the R spatstat package and am having problems creating a polygonal observation window with owin(). Code follows: library("maps") library ("sp")` library("spatstat") mass.map <- map("state", "massachusetts:main", fill=T) # This returns a data frame includding x and y components that form a polygon of massachusetts mainland`

In converting some older code: ## builds an OWIN to generate a set of points on a grid within the OWIN object: bdry <- read.shape( "../../data/boundary.shp" ) outline.verts <- bdry$Shapes[[2]]$verts[1:bdry$Shapes[[2]]$Pstart[2],] outline.order <- nrow( outline.verts ) : 2 bdry.poly <- vector( 2, mode="list" ) bdry.poly[[1]] <- list(

My sincerest apologies, as this is a very elementary problem, but I have searched through archives and FAQs and on the web, and I am at the end of my own resources. I need to do analysis of a spatial point process occuring with four counties, using spatstat. I've had no trouble importing the shapefiles, but I can't seem to figure out what I need to do in order to use the boundary as an

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

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

Dear users, I am trying to export polygons from Arcmap into Spatstat to run some simulations using functions available in Spatstat package. One particular area to be exported is formed by a number of polygons defining the external boundaries of the area (as a groups of islands) and a number of polygons inside the previous ones, as ?holes? not to be considered as part of the area. I have

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 am building a mask with area.urb.sp.W <- as(area.urb.sp, "owin") and got the message Erro em owin(poly = opls) : Polygon data contain duplicated vertices, self-intersection and overlaps between polygons how can I solve this problem in R? many thanks IVAN [[alternative HTML version deleted]]

I would like to use the output from the map function in the package maps for use in, say, the spatstat package. I don't quite understand the coordinates for the border of the state: Example: library(maps) iowa<-map("region","iowa) x<-iowa$x y<-iowa$y There are NA's and duplicated coordinates. What would I need to do to use this in the spatstat owin command?

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

Hello everbody, I am new to this mailing list and hope to find some help. I'm trying to get into the spatstat package and encountered two problems. First a graphical one: There is an example dataset called "finpines" which has several marks (http://www.oga-lab.net/RGM2/func.php?rd_id=spatstat:finpines) When I pass the given code from the website to R data(finpines)

Hello list, I need to keep track of objects that are related to particular observations. In this case, I need to keep track of polygons that are associated with observations. What I would ideally have is one column of a dataframe hold a "polygonal" object (from the spatstat package). My question: I seem to have managed to do it, but as I haven't read that dataframes are supposed

Modify the cpufreq ondemand governor so that it can get idle and total ticks from the Xen hypervisor. Linux and Xen have different ideas of what an idle tick is, so the Xen values for both have to be returned in the same platform hypercall. Signed-off-by: Mark Langsdorf <mark.langsdorf@amd.com> diff -r b4278beaf354 xen/arch/x86/platform_hypercall.c --- a/xen/arch/x86/platform_hypercall.c

I've written the function below to simulate the mean 1st through nth nearest neighbor distances for a random spatial pattern using the functions nndist() and runifpoint() from spatsat. It works, but runs relatively slowly - would appreciate suggestions on how to speed up this function. Thanks. --Dale library(spatstat) sim.nth.mdist <- function(nth,nsim) { D <- matrix(ncol=nth,

Hello, ?? I am a fairly experienced user.? I have set up tftp in the past at various times, although it's been a few years. I am using version... Version????? : 5.2 Release????? : 37.el9 On AlmaLinux 9.3, I currently have SELinux disabled. ]# firewall-cmd --list-services cockpit dhcp dhcpv6-client http ssh tftp I have tftp enabled on the firewall.? ( I have tried with the firewall completely

I have presence/absence data in the following format: 1 2 3 4 5 6 7 8 9 10 11 12 1 1 1 1 1 1 1 1 1 1 1 1 0 2 1 1 1 1 0 1 1 1 1 1 1 0 3 1 1 1 1 1 1 1 1 1 1 0 1 4 1 1 1 1 1 0 1 1 1 1 0 1 5 1 1 1 1 1 1 1 0 0 1 1 1 6 1 1 1 0 0 1 0 0 1 1 1 1 7 1 1 1 1 0 1 1 0 0 0 1 1 8 1 1 1 1 1 1 1 0 0 0 1 0 9 1 1 1 1 0 0 1 0 0 0 1 1 10 1 1 1 1 1 1 1 0 0 0 0 1 11 1 1 1 1 1 1 1 1 1 0 0 1 12 1 1 1 1 1 0 0 0 1 1 1 1