search for: convul

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20120807/70d20fd4/attachment.pl>

Hi, is there a function in R to convert data read with read.shape and which is originally in UTM coordinates into longitude / latitude coordinates? I found the convUL() function from the PBSmapping package but I have no idea how I could apply that to the read.shape object. Many thanks, Werner __________________________________________________ Do sragenden Schutz gegen Massenmails. http://mail.yahoo.com

Dear all: I have a shapefile in UTM coordinate system and I would like to transform it to Lat/Log coordinates (WSG84). The package PBSmapping contains function convUL to transform between the two coordinate systems when data is in the form of a data frame with attributes specifying the coordinate system. However, when shapefiles are imported using function read.shape (package maptools), a list instead of a data frame is generated. I could extract all the polygo...

...h Id. Want I want to get as a value is a data.frame where each row corresponds to one ID and has as many columns as different descriptions. I have used a very convoluted step, but I'm very convinced there is an easier way to do this. Basically, I used the reshape function, but even in this convulated way there is a step that I can't solve. I used a "fake" timevar using the table function. df <- data.frame(id=c(rep('IDa',3), rep('IDb', 5), rep('IDc', 2), rep('IDd',5)), let=letters[1:5]) #add Freq to each id xFreqdf <-...

...(using WGS84 system), so I first need to convert these Longitud-Latitud data into UTM data. To do so, I use package PBSmapping: attr(my.dataframe, "projection") <-"LL" attr(my.dataframe, "zone") <- 30 my.dataframe<-as.PolySet(my.dataframe) my.dataframeUL<-convUL(my.dataframe) obtaining the UTM coordinates. But when I plot them in the polygon region, points seem to be badly located. I suspect it is due to the ED50 UTM of the polygon versus WGS84 coordenates of the points. If this is the problem, is there a way to convert them into the same format? It it i...

...one 11 NAD 27. I first tried this from PBSmapping: library(PBSmapping) LatLong<-cbind(c(56.85359, 56.85478),c(-118.4109, -118.4035)) colnames(LatLong)<-c("X","Y") attr(LatLong, "projection") <- "UTM" attr(LatLong, "zone") <- 11 UTM<-convUL(LatLong) #and that's what I get > UTM X Y 1 -120.9799 -1.068699 2 -120.9799 -1.068632 Now, the UTM values are supposed to be around: X Y 1 414040 6301764.2 2 414493 6301888.39 # I don't know what is wrong, So, I then tr...