similar to: Axis annotation using lattice spplot

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, 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. >

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=...,

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")

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",

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

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

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] <-

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

Hello All, I have a discontinuous dataset and I used spplot to plot the points. I was wondering whether it is possible to show the legend of the plot as color ramp. I saw that on continuous data. If anyone could tell me that would be great. Another thing I would like to know is how can we create the horizontal legend. By default, the legend is vertical. I was able to shift the legend inside

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

Buenas tardes, Estoy probando a leer archivos netcdf (como raster stack) y crear animaciones de datos de modelos climáticos y estaba utilizando para generar las imágenes spplot(). Estás imágenes tienes superpuestas varias capas de imagenes, el mdt de base, nubosidad, precipitación y nieve. Mi pregunta es la siguiente,¿es posible visualizar la leyenda de cada una de las capas? Actualmente solo

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

Hi, Is there a simple way to suppress the plotting of polygon boundaries with spplot() ? # simple list of 12 colors cols <- brewer.pal(12, "Paired") # plot pile of polygons, with 12 classes: spplot(x, zcol='class2', col.regions=cols, scales=list(draw=T), xlab="Easting (m)", ylab="Northing (m)") ... seems to work well. However the polygon boundaries

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

Hola, El problema con la propuesta de Olivier es que los intervalos son diferentes para cada variable. La forma sencilla y rápida es: spplot(zm["part88"], col.regions=plotclr, at=class$brks) Pero para que quede más elegante hay que dar algunos pasos más: ## Intervalos en forma character op <- options(digits=4) tab <- print(class) options(op) intChar <- names(tab) ## Indice

Hola, no me funciona: Te contesto lo mismo que le contesté a otro compañero de la lista, espero ser más claro. Les comparto la carpeta con la capa y los datos que estoy usando. https://www.dropbox.com/s/umy0evt3qm1wr4d/dissolve.zip Esto es lo que estoy haciendo: library(rgdal) library(maptools) library(sp) library(classInt) library(RColorBrewer) zm <- readOGR(?.?, ?zmdis?) data <-

Hola, Yo lo resuelvo usando grid.rect. Tienes una posible solución aquí: https://github.com/oscarperpinan/spacetime-vis/blob/master/choropleth.R#L216 (que es una versión actualizada de este artículo https://procomun.wordpress.com/2012/02/18/maps_with_r_1/) Saludos. Oscar. ----------------------------------------------------------------- Oscar Perpiñán Lamigueiro Dpto. Ing. Eléctrica,

Hola He hecho el típico mapa con gadm y spplot: library(sp) ES <- local(get(load(url("http://biogeo.ucdavis.edu/data/gadm2/R/ESP_adm2.RData ")))) acerco las canarias: A <- which(ES en data$NAME_1 == "Islas Canarias") L <- length(ES en polygons[[A]]@Polygons) L <- length(ES en polygons[[A]]@Polygons) for (i in 1:L){ ES en polygons[[A]]@Polygons[[i]]@coords

http://www.nabble.com/file/p25336596/Conductivity1.jpeg I need a little help making modifications to the image included with this post. First, rather than using a linear color legend to display the output I would like to use a log-scale legend. Thus, the legend on the right would go from 1 to 1000, for example, with a classic log-scale gradation. What I hope to avoid is taking the log of the