similar to: do not plot polygon boundaries with spplot {sp}

Hello: I would like to superimpose vector polygons (state outlines) from a Shape file on top of a satellite image, imported into a SpatialGridDataFrame from GEOTIFF via gdal_translate and readGDAL. When I plot polygon and point shape files in R, into SpatialPointDataFrame and SpatialPolygonDataFrame, the two feature sets line up geographically, so it seems logical that a SpatialGridDataFrame

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

Hello! I have 2 maps - both created in ssplot and both identical in terms of outline. Is there any way to superimpose Map1 (which has black borders between Canadian provinces) onto Map2 (which is also a map of Canada)? Thanks a lot for your hints! Dimitri ### A. Reading in Canada data at the province and then at the county level: library(raster) getData('ISO3') # Canada's code is

Hi, I'm using R 2.5.1 and gstat 0.9-39 library and I'm working with the jura data set provided by gstat library. I tried to plot a graph of metal concentrations (let's say Cd) with the command spplot, but I realized that the default lags are equally distributed between Min and Max. I did: library(gstat) data(jura) jura.pred.xy <- jura.pred names(jura.pred.xy)[1:2] <-

Hello- After looking through ?spplot, I would expect that I could specify the values of the cuts: "...?cuts? number of cuts or the actual cuts to use..." So in the following command, spplot(lzm.krige.dir["var1.pred"], scales=list(draw=TRUE), xlab="Easting",ylab="Northing",

Dear Helper, I have a spatial lines data frame object 'spRiverDf'. The data frame consists of numbers {0,1,...,5}. And I have a vector 'colorS' of length 6 with different colours. If I make a plot with spplot I get a plot of the lines - colours depending on there number in the data frame column: spplot(spRiverDf['data.col.1'], zcol=..., names.attr=...,

I want to use spplot function for plotting data on wold map spplot.points(obj, zcol = names(obj), ..., names.attr, scales = list(draw = FALSE), xlab = NULL, ylab = NULL, aspect = mapasp(obj,xlim,ylim), panel = panel.pointsplot, sp.layout = NULL, identify = FALSE, formula, xlim = bbexpand(bbox(obj)[1, ], 0.04), ylim = bbexpand(bbox(obj)[2, ], 0.04)) in this function I would like to set

I would like to use a map or aerial photo as a background to plotting solid lines and text, and semi-transparent color contours, in base and lattice graphics. Plot coordinates need to be consistent with the georeferenced background. For example, a color contour plot would have an gray-toned aerial photograph as a background for overprinted semi-transparent color contours of some spatially

Hi, I have been trying to use the new .parallel argument with the most recent version of plyr [1] to speed up some tasks. I can run the example in the NEWS file [1], and it seems to be working correctly. However, R will only use a single core when I try to apply this same approach with ddply(). 1. http://cran.r-project.org/web/packages/plyr/NEWS Watching my CPUs I see that in both cases

In the plot below, there are some grid cells that have values below 10, which is the lowest "cut" value I have specified. Is there a way, without adjusting the number of cuts, to tell R to fill in those cells with the lowest possible color (in this case greeen)? There is a white "hole" in the image about a quarter of the way in from the left side, this is what I would like to

hi to all, frustated for this error, to day i buy a 1 GB memory slot for my laptop now it have 1,28GB instead the old 512, but i've the same error :-( damn!damn!....how can i do? repeat for a little area (about 20X20 km and res=20m) it work fine! have you any suggestion? is ther a method for look if this error depend from my ram or other....? thanks foe any suggestion! i need your help.

Hi, Is anyone on the list familiar with an R implementation of Piper Diagrams? Example: http://faculty.uml.edu/nelson_eby/89.315/IMAGES/Figure%209-78.jpg I am thinking that two calls to triax.plot (plotrix) along with some kind of affine-transformed standard plot would do the trick. Not so sure about the final layout, or a nice generalized version for something like lattice. Cheers, Dylan

Hello, I want to create side-by-side maps of similar attribute data in two different cities using a single legend. To simply display side-by-side census block group boundary (non-thematic) maps for Minneapolis & Cleveland I do the following: library(rgdal) library(sp) Minneapolis=readOGR("../Minneapolis/Census/2010/Census_BlockGroup_GEO/","tl_2010_27053_bg10")

Hi, Are there any functions in R that could be used to estimate the phase-shift between two semi-sinusoidal vectors? Here is what I have tried so far, using the spectrum() function -- possibly incorrectly: # generate some fake data, normalized to unit circle x <- jitter(seq(-2*pi, 2*pi, by=0.1), amount=pi/8) # functions defining two out-of-phase phenomena f1 <- function(x)

Hola, Lo hice de la forma en que propones y no me sale, no sé si algo esté mal con R, porque no me respeta ni el ?key.space?, me lo sigue poniendo en la parte izquierda del gráfico Saludos El 06/05/2014, a las 02:21, Olivier Nuñez <onunez en unex.es> escribió: > El segundo argumento en spplot ha de definir el número/nombre del intervalo al que > pertenece el area a pintar. >

I have some geospatial data where two layers are thematic and the third is a percentage, so the maps need to have different themes. thumbDf <- as( stack( thumb), "SpatialGridDataFrame") names(thumbDf at data) <- c("pri", "sec", "pct") thumbDf at data$pri <- factor(thumbDf at data$pri, levels=c(0:8), labels= names( peelClasses)) thumbDf at

Hola, Intento representar en un mapa participaciones porcentuales de los sectores económicos y no logro hacerlo con spplot. He intentado con spplot(zm, c(?part88?, ?part93?), cuts=4, col.regions=brewer.pal(4, ?Set3?)) Lo pude hacer utilizando el base graphics de R, definiendo: > plotvar88 <- zm$part88 > nclr <- 8 > plotclr <- brewer.pal(nclr, "PuOr") > plotclr

Hi, I have fit a series of ols() models, by group, in this manner: l <- ols(y ~ rcs(x, 4)) ... where the series of 'x' values in each group is the same, however knots are not always identical between groups. The result is a table of 'coefs' derived from the ols objects, by group: group Intercept top top' top'' 1 6.864 0.01 2.241 -2.65

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

In the code to follow, I'm trying to label points with their corresponding values but have been unsuccessful after many variations to the following code. The code below creates the plot I want, I simply cannot get the black points ("+") to display the actual value. I'm guessing the problem is somewhere in the second to last line of code (starts with "pts<-..."). I