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I enjoyed the blog posting by “me nugget”, which I ran across on R-bloggers, and so I decided to try that author’s GMT colourscheme. This revealed some intriguing patterns in the Oce dataset named topoWorld. The following code produces a graph to illustrate.
1. Set up colours as suggested on the “menuggest” blog
1 2 3 4 5 6 7 8 9 | ## test GMT colours as suggested by
## http://menugget.blogspot.ca/2014/01/importing-bathymetry-and-coastline-data.html
ocean.pal <- colorRampPalette(c("#000000", "#000209", "#000413", "#00061E",
"#000728", "#000932", "#002650", "#00426E", "#005E8C", "#007AAA", "#0096C8",
"#22A9C2", "#45BCBB", "#67CFB5", "#8AE2AE", "#ACF6A8", "#BCF8B9", "#CBF9CA",
"#DBFBDC", "#EBFDED"))
land.pal <- colorRampPalette(c("#336600", "#F3CA89", "#D9A627", "#A49019", "#9F7B0D",
"#996600", "#B27676", "#C2B0B0", "#E5E5E5", "#FFFFFF"))
library(oce)
|
## Loading required package: methods
1 2 3 4 5 | data(topoWorld)
waterBreaks <- seq(-10000, -100, by = 50)
landBreaks <- seq(100, 10000, by = 50)
imagep(topoWorld, asp = 1, breaks = c(waterBreaks, 0, landBreaks), col = c(ocean.pal(length(waterBreaks)),
land.pal(length(landBreaks))))
|
Resources
- Source code: 2014-01-30-gmt-colors-topography.R
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