the following code was used ....
library(akima)
library(clim.pact)
nc.1 <- "RF_80-05.nc"
nc.rf.in <- open.ncdf(nc.1)
x1 <- retrieve.nc(nc.1, v.nam="Rainfall",l.scale=FALSE, x.rng=c(70, 80),
y.rng=c(10, 13.5))
#dimension is checked for the subset. (lon, lat, time) is changed as (time,
lat, lon)
>dim(x1$dat)
#[1] 2192 8 20
My question is - how can i convert this array into a dataframe so that i have
"lat", "lon", "precipitation values" in 3 different columns (note, I will have
it for just a single day). So, my expected dataframe will have rainfall values
for each given pair of "lon" and "lat".
Or is there any other better way to do my spatial variogram analysis for a
single day given the above dataset?
here is the link for the dataset.
HTTP://WWW.4SHARED.COM/FILE/4ZV0G3JR/RF_80-85.HTML
--
Regards,
Mahalakshmi
Graduate Student
#20, Department of Geography
Michigan State University
East Lansing, MI 48824 Quoting govin...@msu.edu:
>
>
> Hello all,
>
> I am trying to use "clim.pact" package for my work, but since this
> is the beginning for me to use gridded datasets in "R", I am having
> some trouble.
>
> I want to do seasonal analyses like trends, anomalies, variograms,
> EOF and probably kriging too to downscale my 1 degree gridded data
> to 0.5. So, as a first step, I compiled my entire dataset (with 25
> yeears of daily dataset which were present as 25 files) into a
> single netcdf file.
>
> Then, I downloaded clim.pact to do further analysis, which works but
> seems to change dataset's original dimensions' order for
> "retrieve.nc" function (i.e. original lon, lat, time order was
> changed to time, lat, lon after using this function to get a
> subset). I am not sure as to why this happened and not able to get
> any plots such as box plot (showing trend in "lon", "lat",
> "time"), variogram (or variance), correlation analysis done
> because of this conversion problem.
>
> Further, basic "R" functions seem to work well with objects such as
> dataframe, matrix ..etc with time in a separate column, and the
> data values (precipitation, or temperature) in a separate coulmn
> with corresponding station values (lon/lat). So, now I have very
> little idea about what I have to do. Can anyone suggest me a better
> (probably more refined way) way than what I am currently doing to
> analyze these data?
>
>
>
> --
> Regards,
> Mahalakshmi
> Graduate Student
> #20, Department of Geography
> Michigan State University
> East Lansing, MI 48824
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