similar to: 3d topographic map [SEC=UNCLASSIFIED]

Hello, The other day Justin Peter presented a mini program to plot a topographic map with an overlay of the worldHires. I seemed interesting so I checked the ETOPO5 site and find that there is a new file ETOPO1 with a 1 minute grid. I downloaded it and tried a similar procedure. Now the ETOPO1.gz is 1 Gb and the uncompressed file is 5 Gb. They do not fit into my laptop. I tried the following

Hi there, I have two data sets, one of locations at different elevations (x,y,z) and the other of points that make up topographic contours (also x,y,z). I have used: result<-apply(distppll(data2,cbind(topocon[-nrow(topocon),],topocon[-1,])),1,min) where 'data2' are my measurement coordinates (x, y) and 'topocon' are my topographic contours (x,y). While this gives me an output

Dear list members I'm currently working on some topographic (elevation) data, and was somewhat surprised that the 'topo.colors' and 'terrain.colors' are of little to no use here. The problem is that these functions only return a palette of colours; they don't map depth values to colours. So if I plot (using 'image', 'persp' or similar functions) and

I will second Roger's suggestion, colorRampPalette is a great function for creating your own palettes. For example, Matlab's jet palette (also available in fields package under peculiar name 'tim.colors') can be defined by: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

Hi All- I would like to create a 3d topographic map using lat/lon and z(height). I have been scouring the R help pages and have not located the package I am looking for. Does anyone have a suggestion of package that will work for this? thanks- sherri

Dear useRs, I got stuck trying to generate a palette of topographic colors that would satisfy these two requirements: - the pallete must be 'anchored' at 0 (just like on a map), with light blue/lawn green corresponding to data values close to 0 (dark blue to light blue for negative values, green-yellow-brown for positive values) - the brown must get darker for higher positive

I tried to use R version of package I noticed the original MatLab Pckage is much better documented. I had a look at the R demo code "gtm_demo" and found that variable Y is used in advanced of being created: I wrote my own few lines as follows: inDir <- "C:/Documents and Settings/Monville/Alanine Dipeptide/DBP1/DHA" setwd(inDir) T <-

Hi, I am using maptools to plot air quality data on a map. Each measurement point is mapped to a postal code area. This yields pictures with discrete borders, like so: http://dl.dropbox.com/u/27415200/baincome.png The problem is that the size of a postal code area doesn't mean much in this context. Moreover, only a small minority of all the postal code areas has a measurement sation. Are

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 I am new to XEN. Try to move from vmware and Virtualbox (I use both now). Unfortunately, Debian Squeeze no longer support xen (out of the box no dom0) So I am trying to make it myself. I have installed xen 3.4.2 from source, did make world and installed. Got the kernel source from from the git repository with the xen patches following the xen

Hi all, I'm fairly new to R, so I'm still trying to feel out what is available to me. I would like to be able to plot joint density in a two dimensional plot where density is indicated by color or darkness gradients, like a 2d color coded topographic map. Ideally, the output would be something I could then plot other points or lines on. Currently, I'm calculating joint density with

Dear R-Listers, I have spatial data on an equidistant rectangular grid, similar to topographic data. I know that there are quite a few R-packages or base functions that provide nice iso-contours plot, but I don't want a plot, just the smoothed isocontour line of ONE level (e.g. 10 mm). Data sets are large, so it would be preferable if the availability of regular grid data could be exploited,

I am trying to create a topographic map of an island - the filled.contour function works fine except i am experiencing difficulty trying to represent the sea properly. Basically I want the default colour blue for any instance where z=0, if I simply use the default topo.color I get shades of blue for z values up to 220 metres. Is there a way in which I can specify terrain.color for all values of

Dear R-users, There are tons of methods out there for fitting independant variables to a dependent variable. All stats books tell you about the assumptions behind OLS (ordinary least squares) and warn against abusive use of the method (which many of us do disregard by lack of a better knowledge). Most introductory text books stop there and don't tell you what the next best option might be. I

The line contour(volcano, x, y, l, col = "yellow", lty = "solid", add = TRUE) needs to be changed to contour(x, y, volcano, col = "yellow", lty = "solid", add = TRUE) A patch is appended below. -k *** demos/graphics/graphics.orig Thu Apr 17 11:02:39 1997 --- demos/graphics/graphics Thu Apr 17 11:03:08 1997 *************** plot(numeric(0), numeric(0),

Hi, I was trying to stack a topographic map readed in from esri shapefile with a contour map and a vector map. However, the plotMap(maptools) and contourplot(lattice) do not seem to work well on top of each other. Here is part of my code. xrange<-range(225000:350000) yrange<-range(2685000:2810000) basemap <- read.shape("Twn25_town_dxf_Polygon.shp")

I've been thinking hard about generating colour schemes for data. There's quite a bit of existing code scattered in various packages for playing with colours and colour palettes, but I can't find the sort of thing I'm after for applying colours to data... To my mind a colour scheme is a mapping from data values to colours. There's a multitude of such mappings depending on the

Hello Elias, Monday, December 15, 2014, 4:13:20 PM, you wrote: EP> Sounds like it might be differences in precision of the timestamp. Could be, thoght the NAS box has the sending system as it's NTP server so their times should be in sync. EP> Check out the `--modify-window` option. Doesn't seem to stop all the folders being listed even though nothing is transferred.

Hello, I have written a small set of R functions for doing Generative Topographic Mapping and variants, and would like to write part of the code in C++ using the MatClass Matrix Library ( http://les.man.ac.uk/ses/staff/crb/matclass/ ). Now, my problem is even before writing the code itself, to compile the MatClass library. Everything is OK under Windows but when trying to port the program to

Hello Les, Sunday, December 14, 2014, 7:18:09 PM, you wrote: LM> Folders should only be listed if timestamps or permissions are different. Further experimentation shows this to be the case IF the destination is another local drive. Unfortunately the required destination is a CIFS share, which might change things. -- Best regards, Niamh mailto:niamh at

On Mon, 15 Dec 2014 at 11:41 -0000, Niamh Holding wrote: > EP> Sounds like it might be differences in precision of the timestamp. > > Could be, thoght the NAS box has the sending system as it's NTP server so > their times should be in sync. > > EP> Check out the `--modify-window` option. > > Doesn't seem to stop all the folders being listed even though