Hello, I have produced a GDAL (1.11.0) binary for Anaconda with HDF4, HDF5 and NetCDF for X86_64. It should just work by installing standard anaconda and issuing the following command:
conda install -c https://conda.binstar.org/jgomezdans gdal=1.11.0 The list of supported raster formats is available here: https://gist.github.com/jgomezdans/11c1bb9ce266495e6544, but in reality, I need it for working with MODIS data, so only tested MODIS, HDF5 and netcdf. Hope it's of use to other people! Jose On 18 August 2014 14:54, Jake Brinkmann <jakebrinkm...@gmail.com> wrote: > Hey Daniel, > > Much appreciated! I think building my own on a VM might be the next thing > I try. > I attempted to use jevans version, with a fresh install of Anaconda, but > to no avail. > The code here: https://gist.github.com/jake-brinkmann/fb4bd3f4625b209978d0 > still didn't work. > > I'll look through the examples to attempt again after building my own > package. > > Thank you! > Jake > > > On Sat, Aug 16, 2014 at 4:34 AM, Daniel Clewley <daniel.clew...@gmail.com> > wrote: > >> Hi Jake, >> >> As you mentioned Anaconda Python, one options is to install a different >> GDAL build from binstar someone has built with HDF4 support or build >> yourself using the conda build system on a virtual machine you have root >> access to and then install these binaries through conda. >> >> A quick search of binstar.org showed the following user with GDAL built >> against HDF4: >> >> https://binstar.org/jevans >> >> You should be able to install this version of GDAL through conda using: >> >> conda install -c https://conda.binstar.org/jevans gdal >> >> Note: I haven't tested this. >> >> Building your own packages is a bit more involved - basically you create >> a recipe and then build it using: >> >> conda build recipe-folder >> >> There is a github repository with lots of examples here: >> >> https://github.com/conda/conda-recipes/ >> >> We've built GDAL and other software through conda for Linux and OS X >> under virtual machines and installed on different machines (without root >> access) and it's worked pretty well. >> >> Hope this helps and the discussion of conda isn't too off topic. >> >> Thanks, >> >> Dan >> >> On 15 Aug 2014 23:11, Even Rouault <even.roua...@spatialys.com> wrote: >> > >> > Jake, >> > >> > well if you don't have the basic build dependencies, this might get >> > complicated... Nothing impossible, but might take time indeed. >> > Well one possibility is to access a CentOS where you have a root access >> (e.g. a >> > VM that you install), build on it, and then copy the resulting binaries. >> > >> > Even >> > >> >> Hey Even, >> >> >> >> Thank you for outlining this. The trouble I have is that, without root >> >> access, `make install` is a never-ending list of missing libraries, or >> >> compilation errors... >> >> Do you know of a way to resolve the missing libraries without root >> access >> >> (and without wasting the next 48hours untaring, compiling, and >> installing)? >> >> >> >> Just as an example, I cant even compile the HDF4 source with >> `./configure >> >> --prefix=/have/write/access` because of something with Fortran and >> g77... I >> >> disable fortran as `./configure --prefix=/have/write/access >> >> --enable-fortran=NO` but then it fails due to missing yacc utility.... >> This >> >> continues until I get so lost as to what library I'm installing for >> what >> >> package, that it just seems there must be an easier way... >> >> >> >> If you have any thoughts, please, let me know. >> >> >> >> Thank you for reaching out. >> >> Jake >> >> >> >> >> >> On Fri, Aug 15, 2014 at 4:45 PM, Even Rouault < >> even.roua...@spatialys.com> >> >> wrote: >> >> >> >>> Selon Jake Brinkmann <jakebrinkm...@gmail.com>: >> >>> >> >>>> Hello all geospatial-web-wizards, >> >>>> >> >>>> I am struggling pretty hard building the GDAL libraries and all the >> >>>> countless dependencies from source in CentOS6.5. I do not have root >> >>> access >> >>>> on my machine, but I need the GDAL (as well as HDF, GeoTiff, GEOS, >> etc.) >> >>>> libraries for performing image processing using the Terra/Aqua MODIS >> >>>> satellite remote sensing data. >> >>>> Does anyone out there have experience building GDAL along with HDF >> and >> >>>> Python bindings, but without, and I emphasize here: *without* root >> >>> access? >> >>>> Alternatively, if possible, I would be willing to install a binary, >> but >> >>>> remember: I do not have root access (so I'm not sure this would >> work...) >> >>>> and lack experience with *.rpm files >> >>>> >> >>>> Let me know, please, if anyone has any ideas at all. >> >>>> I am really wishing the Anaconda Python distribution would come with >> GDAL >> >>>> supporting HDF4, but it currently does not... >> >>>> >> >>>> Thanks for reading, and any help you can provide, >> >>> >> >>> Jake, >> >>> >> >>> It is always possible to build without root access. >> >>> The scheme is : >> >>> 1) Download HDF4 sources, untar, cd to the source directory >> >>> 2) ./configure --prefix=/somewhere/where/you/have/write/access >> >>> 3) make install >> >>> 4) Download GDAL sources, untar, cd to the source directory >> >>> 5) ./configure --prefix=/somewhere/where/you/have/write/access >> >>> --with-hdf4=/somewhere/where/you/have/write/access >> >>> 6) make install >> >>> 7) cd swig/python >> >>> 8) python setup.py build >> >>> 9) export PYTHONPATH=$PWD/build/lib.linuxXXXXXXXX (to be adapted >> depending >> >>> on >> >>> your architecture and Python version) >> >>> 10) export PATH=/somewhere/where/you/have/write/access/bin:$PATH >> >>> 11) export LD_LIBRARY_PATH=/somewhere/where/you/have/write/access/lib >> >>> >> >>> You should be done. >> >>> >> >>> Even >> >>> >> >>> -- >> >>> Spatialys - Geospatial professional services >> >>> http://www.spatialys.com >> >> > > _______________________________________________ > gdal-dev mailing list > gdal-dev@lists.osgeo.org > http://lists.osgeo.org/mailman/listinfo/gdal-dev >
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