Hi
On 23/11/2010 5:41 p.m., Steve Bellan wrote:
Hi all,
I'm trying to visualize animal movement data characteristics
spatiotemporally by overlaying many different histograms on a map. I
want the histograms to be plotted at coordinates in the map that
matches a region they describe. If I was just doing this once, I'd
fiddle in Illustrator after R and avoid the headache. But I'll be
doing it many many times so it seems worth the elegance& repeatability.
For example, say we have the following data:
covariate<- rep(letters[1:10], each = 100)
shape.pars<- rep(seq(.5,.7, length.out = 10), each = 100)
zz<- rgamma(1000, shape = shape.pars, scale = 2)
map<- data.frame(factor = unique(covariate), xx = rnorm(10), yy =
rnorm(10))
I'd like to be able to have 10 histograms plotted for each level of
the covariate at the coordinates specified in the map data.frame.
Ideally, I'd like to be able to specify whether they were plotted to
the left, right, top, bottom or center of the coordinates similar to
in text() and other graphical functions. Looking around the archives,
all I've come across are the viewport system in library(grid) which
doesn't seem to be able to handle plot() hist() or other such
functions. Otherwise, I could create viewports for each histogram
inside the map's coordinate system.
Any ideas? Thanks!
You can draw 'lattice' or 'ggplot2' plots (e.g., histogram() in
'lattice') within 'grid' viewports.
Paul
Steve
Steve Bellan
MPH, Epidemiology
PhD Candidate, Environmental Science, Policy& Management
Getz Lab
University of California, Berkeley
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Dr Paul Murrell
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The University of Auckland
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and provide commented, minimal, self-contained, reproducible code.
