In leighseverson/rnoaa: 'NOAA' Weather Data from R

Sea ice vignette

Get sea ice data at ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/shapefiles.

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library('rnoaa')
library('plyr')

Look at data.frame's for a series of years for Feb, South pole

urls <- sapply(seq(1979, 1990, 1), function(x) seaiceeurls(yr = x, mo = 'Feb', pole = 'S'))
out <- lapply(urls, seaice)
head(out[[1]])
#>      long     lat order  hole piece id group
#> 1  650000 2200000     1 FALSE     1  0   0.1
#> 2  675000 2200000     2 FALSE     1  0   0.1
#> 3  675000 2150000     3 FALSE     1  0   0.1
#> 4  650000 2150000     4 FALSE     1  0   0.1
#> 5  650000 2200000     5 FALSE     1  0   0.1
#> 6 -275000 2325000     1 FALSE     1  1   1.1

Map a single year/month/pole combo

urls <- seaiceeurls(mo = 'Apr', pole = 'N', yr = 1990)
out <- seaice(urls)
library('ggplot2')
ggplot(out, aes(long, lat, group = group)) +
   geom_polygon(fill = "steelblue") +
   theme_ice()

Map all years for April only for North pole

urls <- seaiceeurls(mo = 'Apr', pole = 'N')[1:10]
out <- lapply(urls, seaice)
names(out) <- seq(1979, 1988, 1)
df <- ldply(out)
library('ggplot2')
ggplot(df, aes(long, lat, group = group)) +
  geom_polygon(fill = "steelblue") +
  theme_ice() +
  facet_wrap(~.id)

leighseverson/rnoaa documentation built on May 21, 2019, 3:06 a.m.