Hello,
I'm working with Java nc2 library and I wish to read Etopo files (which
are in NetCDF format) with the methods of the library. I work with
MatLab R2006b.
I want to sample the data in Latitude and Longitude, ie, I don't want to
read all the data but only two samples among 4.
In Java, I manage to read it with loop in latitude and longitude but
it isn't satisfied by the process time which is more longer than the
version with mex version.
Do you know a method with Java which is so faster than with mex functions ?
Thank you by advance.
Roger GALLOU
France
PS:
I join here my example code for it in the two versions :
Mex and Java.
function test_SampleNetCDF_mex(nomFic)
%
nc = netcdf(nomFic);
if isempty(nc)
return
end
indLat = 1:2:3;
indLon = 2:2:4;
Z = nc{'MEAN_VALUE'}(indLat, indLon)
close(nc)
%%
function test_SampleNetCDF_java(nomFic)
import ucar.nc2.*;
import ucar.ma2.*;
idFile = NetcdfFile.open(nomFic);
if isempty(idFile)
return
end
dataVar = idFile.findVariable('MEAN_VALUE');
indLat = 1:2:3;
indLon = 2:2:4;
Z = zeros(size(indLat, 2), size(indLon, 2));
for latLoop=1:numel(indLat)
dummy= dataVar.slice(0,indLat(latLoop));
dummy2 = pppp.read;
for lonLoop=1:numel(indLon)
dummy23= dummy2.slice(0,indLon(lonLoop));
Z(latLoop, lonLoop) = dummy3.copyTo1DJavaArray;
end
end
idFile.close();
