I'm using xYplot to create a bubble plot of values that I'd like to
visualize on top of a filled-in map of the coast, but I'm too much of a
lattice (which I understand xYplot is built on) and mapping newbie to
figure out how to begin to make this happen. Below is some sample code
that doesn't work but illustrates my goal. Any pointers anyone has
would be much appreciated. I'm using R v2.9.0 on Windows with Hmisc
v3.6-0 and maps v2.1-0.
Cheers,
eric
library(Hmisc)
library(maps)
sample.data <- data.frame(lat = c(12.1667, 14.6333, -6.874, 2.6167,
14.6833,
11.2, 3.2667, 11.4167, -13.8623, 13.1667), lon = c(-126.25, -103.4667,
-88.4572, -93.65, -97.7, -88.65, -111.0167, -119.7333, -100.0748,
-108.0333), exp.index = c(23.6266244576543, 2.06824648038330,
0, 1.46378849121688, 24.1824663424805, 0, 0.364600074527829,
4.468039274638, 0.543833744085446, 18.2301918845932))
xlim <- c(-150, -80)
ylim <- c(-5, 30)
print(xYplot(lat ~ lon, data = sample.data, size = sample.data$exp.index,
xlim = xlim, ylim = ylim
))
map("world", fill = TRUE, col = "gray", xlim = xlim, ylim = ylim, add =
TRUE)
Eric Archer, Ph.D.
Southwest Fisheries Science Center
National Marine Fisheries Service
3333 North Torrey Pines Court
La Jolla, CA 92037-1022
858-546-7121 (work)
858-546-7003 (FAX)
ETP Cetacean Assessment Program: http://swfsc.noaa.gov/prd-etp.aspx
Population ID Program: http://swfsc.noaa.gov/prd-popid.aspx
"Innocence about Science is the worst crime today."
- Sir Charles Percy Snow
"Lighthouses are more helpful than churches."
- Benjamin Franklin
"...but I'll take a GPS over either one."
- John C. "Craig" George