问题
I have recently started to work with netcdf in R. Sample data is here:
http://www.earthstat.org/data-download/ > Harvested area and yield for 175 crops > individual crops > soybean_HarvAreaYield2000_NetCDF
In this folder, there is a netcdf file called soybean_AreaYieldProduction.nc
This is how I open the netcdf
library(ncdf4)
dat <- nc_open("soybean_AreaYieldProduction.nc")
print(soy)
1 variables (excluding dimension variables):
float soybeanData[longitude,latitude,level,time]
LayerDescriptions: struct(5).Data(:,:,1/2/3/4/5/6) to access data layer: 1=Harvested Area fraction, 2=Yield 3=Harvested Area data quality, 4=Yield data quality, 5=Harvested Area in hectares, 6= Production
Units: Harvested Area Fraction(1)=percent of gridcell that was harvested, Yield(2)=metric tons per hectare, Harvested Area Hectares(5)=total hectares harvested per gridcell, Production(6)=Metric Tons
DataQuality: In levels 3 and 4, a value of 1 = county; .75 = state; .5 = interpolated from within 2 degrees lat/long; .25 = country; 0 = missing.
4 dimensions:
longitude Size:4320
units: longitude
latitude Size:2160
units: latitude
level Size:6
time Size:1
I want to plot each level but do not know how to extract data for each level.
This is how I extract lon and lat data:
lon <- ncvar_get(dat,"longitude") # extract long
lat <- ncvar_get(dat,"latitude") # extract lat
But how do I extract individual levels?
level.1 <- ncvar_get(dat, ????)
Ultimate aim is to visualize each levels I want to visualize using the following command:
image(lon,lat, level)
回答1:
It is probably easiest to use the raster
package:
library(raster)
r1 <- raster("soybean_AreaYieldProduction.nc", level=1)
r2 <- raster("soybean_AreaYieldProduction.nc", level=2)
plot(r1)
image(r1)
s <- stack(r1, r2)
plot(s)
Other plotting methods
spplot(s)
library(rasterVis)
levelplot(r1)
levelplot(s)
And see other mapping packages on CRAN
来源:https://stackoverflow.com/questions/47538582/plotting-netcdf-file-with-levels-in-r