st_rotate | R Documentation |
Transform rotated long/lat regular grid to unrotated curvilinear grid
## S3 method for class 'stars'
st_rotate(.x, lon0, lat0, north = TRUE, ...)
## S3 method for class 'sfc'
st_rotate(.x, lon0, lat0, north = TRUE, ...)
## S3 method for class 'sf'
st_rotate(.x, lon0, lat0, north = TRUE, ...)
.x |
object of class |
lon0 |
longitude of the rotated pole in degrees |
lat0 |
latitude of the rotated pole in degrees |
north |
logical; if |
... |
ignored |
curvilinear stars object with coordinates in regular long/lat (North pole at lat=90)
if (require("starsdata") && require("maps")) {
# data downloaded from https://esgf-data.dkrz.de/search/cosmo-rea/
nc = "netcdf/ts_EUR-6km_ECMWF-ERAINT_REA6_r1i1p1f1_COSMO_v1_mon_201801-201812.nc"
f = system.file(nc, package = "starsdata")
m = read_mdim(f, "ts")
print(m)
# NOTE this function is obsolete when reading m as
# m = read_mdim(f, "ts", curvilinear = c("longitude", "latitude"))
if (require(RNetCDF)) {
x = open.nc(f)
lon = att.get.nc(x, "rotated_latitude_longitude", "grid_north_pole_longitude")
lat = att.get.nc(x, "rotated_latitude_longitude", "grid_north_pole_latitude")
close.nc(x)
print(c(lon = lon, lat = lat))
} else {
lon = -162
lat = 39.25
}
m1 = st_rotate(m, lon, lat)
print(m1)
h = function() maps::map(add = TRUE)
plot(m1, downsample = c(10, 10, 5), axes = TRUE, hook = h, mfrow = c(1, 2))
# curvilinear grid: downsample for plotting speed
m2 = st_warp(m1, crs = st_crs("OGC:CRS84"), threshold = .1)
plot(m2, hook = h, mfrow = c(3, 4)) # regular grid: plots fast
}
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