I have .raw file data which contained the climate data. The data was pre-processed by other people (not me).
This is the correct image plotted by other software.
Now I want to plot and re-analyze the data in R.
I have tried the code below based on answers I have found here and elsewhere:
image_width=961
image_height=481
library(hexView)
raw_image <- readRaw("D:/IDL/boa/sst_20200621-GRAD_MAG.raw")
image_matrix <- matrix(raw_image$fileRaw, nrow = image_height, ncol = image_width, byrow = TRUE)
plot(as.raster(image_matrix))
And I got this.
So I back to check the data I read. I found that the data I import isn't numerical values. It looks like this:
> str(raw_image)
List of 10
$ width : NULL
$ offset : num 0
$ nbytes : num 1848964
$ fileRaw: raw [1:1848964] 00 00 c0 7f ...
$ fileNum: NULL
$ machine: chr "hex"
$ type : chr "char"
$ size : num 1
$ endian : chr "little"
$ signed : logi TRUE
- attr(*, "class")= chr "rawBlock"
I also tried to modify the code like this:
> raw_image <- readRaw("D:/IDL/boa/sst_20200621-GRAD_MAG.raw", human="real")
> str(raw_image)
List of 10
$ width : NULL
$ offset : num 0
$ nbytes : num 1848964
$ fileRaw: raw [1:1848964] 00 00 c0 7f ...
$ fileNum: num [1:231120] 2.25e+307 2.25e+307 2.25e+307 2.25e+307 2.25e+307 ...
$ machine: chr "hex"
$ type : chr "real"
$ size : num 8
$ endian : chr "little"
$ signed : logi TRUE
- attr(*, "class")= chr "rawBlock"
But it still not work, because the value of the data should be between 0.0 to 0.3, not 2.25e+307 or 00 00 c0 7f.
So my question is how to correctly import the .raw file data.
Thanks in advance for any help. It will be much appreciated!
