我的目标是使用正确的经度和纬度为世界地图绘制硝酸盐(no3)数据。
有两个netcdf文件:
1. with the data
2. with the grid information
有关数据的摘要信息: no3是长度为x * y * sigma的数组 no3_df是'x * y obs。 3个变量' x =整数[180] y =整数[193] sigma = array [53]
我想看看西格玛('深度')20。因此,我做了以下事情:
# Load the needed libraries to handle netcdf files
library(ncdf)
library(akima)
# Open data and grid files
file1 <- open.ncdf(file.choose())
grid <- open.ncdf(file.choose())
# Read relevant variables/parameters from data file1
x <- get.var.ncdf(file1,varid="x")
y <- get.var.ncdf(file1,varid="y")
sigma <- get.var.ncdf(file1,varid="sigma")
no3 <- get.var.ncdf(file1,varid="no3")
sigma_plot <- no3[,,sigma=20]
# Read relevant variables/parameters from grid file
plon <- get.var.ncdf(grid,varid="plon")
plat <- get.var.ncdf(grid,varid="plat")
# Each cell of sigma_plot corresponds to one cell of plon and plat.
A <- array(c(plon,plat,sigma_plot),dim=c(180,193,3))
# Now B is an array containing for each row: (longitude, latitude, value).
B <- apply(A, 3, cbind)
# But it is not a regular grid, so interpolate to a regular grid. akima library
C <- interp(B[,1],B[,2],B[,3],
xo=seq(-180,180,1),yo=seq(-90,90,by=1), # tweak here the resolution
duplicate='mean') # extra y values are duplicates
#########
# PLOTTING
#########
# This one works, but doesn't have a correct longitude and latitude:
filled.contour(x,y,sigma_plot, col=rich.colors(18))
# Try to plot with lon and lat
filled.contour(C, col=rich.colors(30))
由于fill.contour图没有正确的经度和纬度,我想使用ggplot。但是,我不知道该怎么做......
# And the plotting with ggplot
ggplot(aes(x=plon_datafrm,y=plat_datafrm),data=no3_df) +
geom_raster() +
coord_equal() +
scale_fill_gradient()
这似乎不起作用。我是ggplot的网,所以这可能是原因,我真的很感激任何帮助。
答案 0 :(得分:2)
library(ncdf)
data <- open.ncdf(file1)
no3 <- get.var.ncdf(data,varid="no3")
sigma_plot <- no3[,,20]
grid <- open.ncdf(file2)
plon <- get.var.ncdf(grid,varid="plon")
plat <- get.var.ncdf(grid,varid="plat")
与我之前所理解的相反,sigma_plot的每个单元格对应于plon和plat的一个单元格。
A <- array(c(plon,plat,a),dim=c(180,193,3))
B <- apply(A, 3, cbind)
现在B是一个包含每一行的数组:(经度,纬度,值)。但它不是常规网格,因此您需要插入常规网格。最简单的方法是使用包interp
中的akima
:
library(akima)
C <- interp(B[,1],B[,2],B[,3],
xo=seq(-180,180,1),yo=seq(-90,90,by=1), #you can tweak here the resolution
duplicate='mean') #for some reasons some entries are duplicates, i don t know how you want to handle it.
image(C) #for instance, or filled.contour if you prefer
library(maptools)
data(wrld_simpl)
plot(wrld_simpl, add=TRUE, col="white") #To add a simple world map on top