and would it possible a similar plot using contourplot() (or
levelplot()) overlaid
on a gmap?
I've tried the equivalent to the
stamen.R function that you refer to:
contourplot(rinvmod2goog,zscaleLog=TRUE,
at=my.at,colorkey=myColorkey,margin=FALSE,add=TRUE) +
It works for me using rinvmod2lonlat (long-lat coordinates).
Oscar.
-
Oscar Perpiñán Lamigueiro
Grupo de Sistemas Fotovoltaicos (IES-UPM)
Dpto. Ingeniería Eléctrica (ETSIDI-UPM)
URL: http://oscarperpinan.github.io
Twitter:
Yes, it does for me as well: I had messed with the parameters of the
map in the original function.
Here I've made a page showing what I do and what I get:
https://dl.dropboxusercontent.com/u/3180464/contourOngmap_log.html
Is it possible doing the reverse, overlaying the contour on top of the
map
Try this:
rinvmod2Ext - extend(rinvmod2lonlat,
with(bbMap2, c(ll.lon, ur.lon, ll.lat, ur.lat)))
contourplot(rinvmod2Ext, zscaleLog=TRUE, margin=FALSE) +
layer(grid.raster(gmap2,
x=lonCenter2, y=latCenter2,
width=width2,
Yes!
I also noticed that making a custom box for the plot is not
straightforward because
the user cannot set the box in get_map. I've managed to do it using
the extend() trick.
html updated
https://dl.dropboxusercontent.com/u/3180464/contourOngmap_log.html
Thanks!
Agus
On Tue, Dec 10, 2013 at
Hi,
For the sake of completeness: just a few days ago I received a comment
to a post about spplot and ggmap
(http://procomun.wordpress.com/2013/04/24/stamen-maps-with-spplot/).
There I was using a SpatialPointsDataFrame object. Because of that
comment I posted another example with
I was told, among other things, to look for previous messages by Oscar that
would explain how to do this. Here is Oscar's solution that I found to work
for the case where you want to plot two rasters that have different extents.
In my case, gmap is a satellite image obtained with RgoogleMaps,
Hi,
I have a map tile from RgoogleMaps that I want to use as a background image for
an spplot of gridded data, where the data will be plotted with an alpha value
1. I am unable to plot them together.
I was going to set up an example with meuse.grid, but I couldn't get CRS() to
work with
