search for: spatialline

Hi Ashraf, It is not obvious to me what your structures are but one problem in your function is the assignment tt1 <- SpatialLines(list(tt[[i]])). This will set tt1 to just have one item. Consider the following test.func <- function(x) { tt1 <- list() for ( i in ... ) { ... tt1[[i]] <- SpatialLines(tt[[i]]) } return(tt1) } HTH, Eric On Mon, Sep 25, 2017 at 3:40 PM, Ashraf Afana vi...

Hi Eric, Thanks for the help.But this will not solve the problem as it will generate a list and what I need is an object of class sp using SpatialLine function from sp package.So, I need to convert each matrix to coordinates and then to a line and then to a spatial line as figured in the code. My data structure is a list of 141 matrices.Each matrix represents coordinates of the river lines position. Ashraf, cheers On Monday, 25 September...

Hi all,I'm trying to build a SpatialLines object from a list that contains 124 river segments. Each segment in the list contains the x,y coordinates. I'm using the following code to create the SpatialLines object, but it just retrieves one segment. Any suggestions? test.func = function(x){ ??? for (i in 1:length(x)) {??????? tt[[i]]...

Hi Ashraf, In that case I think you may need to structure the code to first build the list and only at the end supply that to the SpatialLines function, something like test.func <- function(x) { tt <- list() for ( i in ... ) { ... tt[[i]] <- (whatever) } return(SpatialLines(tt)) } Eric On Tue, Sep 26, 2017 at 12:36 PM, Ashraf Afana <asafaneh at yahoo.com> wrote: > Hi Eric, > > T...

I'm hoping to use R for spatial analysis. In working through examples in Chapt. 4 of Applied Spatial Data Analysis with R I've come across the following error in trying to plot lines with the meuse data set. The text is verbatim from the book. > m.sl <- SpatialLines(list(Lines(list(Line(cc))))) Error in Lines(list(Line(cc))) : Single ID required What does "Single ID required" mean? Thanks. Mark

Dear forum,   I am working in R 2.9.1 and I am trying to sample locations from a network file. Reading in nor plotting is a problem, however when I am trying to sample from the file I get the following message:   nwlim<-readShapeLines("C:/Limburg_nwshape", proj4string=CRS("+init=epsg:31300")) plot(nwlim)   randacc<-spsample(nwlim,n=1000,"random")

...lt;- map.lines.coords.IOAPI.x + extents.xmin > map.IOAPI$y <- map.lines.coords.IOAPI.y + extents.ymin > map.IOAPI$range <- c( > min(map.IOAPI$x), > max(map.IOAPI$x), > min(map.IOAPI$y), > max(map.IOAPI$y)) > map.IOAPI.shp <- > maptools::map2SpatialLines(map.IOAPI, proj4string=CRS) > return(map.IOAPI.shp) > } # end project.M3.boundaries.for.CMAQ The maps are then overlaid on data and plotted using package=rasterVis http://cran.r-project.org/web/packages/rasterVis/ with code like https://bitbucket.org/tlroche/gfed-3.1_global_to_aqmeii-...

Dear, I would like to generate kml file with lines (<LineString>) of different style (definitely color, but width would also be nice to see). However with kmlLine from maptools package I am able only to output the single first Lines object (first row of SpatialLinesDataFrame) I guess the option would be to have single Lines object (instead of list of them), but then also the style wouldn't vary among them... My code so far: library(maptools) library(sp) out <- structure(list(I = structure(c(1L, 7L, 3L, 4L, 5L, 1L, 2L, 9L, 6L, 3L, 10L, 8L...

Hi, Suppose I have two vectors, not necessarily the same length (in fact, they usually are different lengths): y.1 that has increasing values between 0 and 1; y.2 that has decreasing values between 1.0 and 0. You can picture these as being supply (= y.1) and demand (= y.2) curves from economics. I typically plot these vectors on the same graph against a common x variable, which happens to

...the data frame in an efficient manner. I am thinking of something like a double for-loop, but can't get it to work. I am also having problems reproducing my list of spatial polygons in a simple way here, but hope that my explanation is sufficient. # Making two test areas: library(sp) w1 <- SpatialLines(list(Lines(list(Line(cbind( c(80,85,87,90,85,80), c(10,15,17,15,10,10) )))))) w2 <- SpatialLines(list(Lines(list(Line(cbind( c(65,67,76,68,65), c(30,29,24,22,30) )))))) # Test points: x = c(5, 7, 35, 28) y = c(60, 70, 90, 85) xy <- SpatialPoints(cbind(y,x)) distance <- rep(NA, 4) for (...

...(cbind(x2$X, x2$Y)) v <- variogram(log1p(tsport_ace) ~ 1, x2, cutoff=100, width=9) te<- fit.variogram(v,vgm(0.0437, "Exp", 26, 0)) y <- krige(tsport_ace~1, x2, x2_SG, model = ve.fit) spplot(y, 1, col.regions = bpy.colors(100), sp.layout = list("sp.lines",as(rsa2, "SpatialLines"),no.clip = TRUE)) I'm looking forward to your response. Thanks. Best regards, Pearl dela Cruz [[alternative HTML version deleted]]

...sfLibrary(rgeos) sfLibrary(snowfall) system.time( sfClusterApplyLB(1:10, function(k) { sfCat(paste("Iteration ", k), sep="\n") if (......) { } else { if (class(ob1)=="SpatialCollections") { ob2 <- ob1 at lineobj } else if (class(ob1)=="SpatialLines") { ob2 <- ob1 } ob3 <- data.frame(length_m=sapply(1:length(ob2), function(l) gLength(ob2 [l, ]))) ..... } ..... } sfStop() The problem is that the code returns the error message: Error in checkForRemoteErrors(val) : one node produced an error: object 'o...

hi all, I have a plot to which i would like to add text labels. And i cant find a way...here is the code : enaD2<-idw(D2~1, loca=dva, newdata=grd) pts = list("sp.points", dva, pch = 20, cex=1.5, col = "darkred spplot(enaD2, "var1.pred",sp.layout=pts, main = "globina 60 cm", sub="D2",

Hi group, I found a module for adaptive kernel density estimation for Stata users, but unfortunetly I don't have access to Stata, can I find a similar approach using R? Thank u so much 4 ur time. [[alternative HTML version deleted]]