89_*_*ple 2 r raster netcdf netcdf4
我最近开始在 R 中使用 netcdf。示例数据在这里:
http://www.earthstat.org/data-download/ > 175 种作物的收获面积和产量 > 个别作物 > 大豆_HarvAreaYield2000_NetCDF
在这个文件夹中,有一个名为的 netcdf 文件 soybean_AreaYieldProduction.nc
这就是我打开 netcdf 的方式
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
Run Code Online (Sandbox Code Playgroud)
我想绘制每个级别,但不知道如何为每个级别提取数据。
这就是我提取 lon 和 lat 数据的方式:
lon <- ncvar_get(dat,"longitude") # extract long
lat <- ncvar_get(dat,"latitude") # extract lat
Run Code Online (Sandbox Code Playgroud)
但是我如何提取个人级别?
level.1 <- ncvar_get(dat, ????)
Run Code Online (Sandbox Code Playgroud)
最终目标是使用以下命令可视化我想要可视化的每个级别:
image(lon,lat, level)
Run Code Online (Sandbox Code Playgroud)
使用这个raster包可能是最简单的:
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)
Run Code Online (Sandbox Code Playgroud)
其他绘图方法
spplot(s)
library(rasterVis)
levelplot(r1)
levelplot(s)
Run Code Online (Sandbox Code Playgroud)
并查看 CRAN 上的其他映射包