Gdal Install Drivers For Hdf4 On Mac
IRIX, Solaris, BSD, and MacOS X. On Unix platforms you might be able to build. In order to run GDAL after installing it is necessary for the shared. There are quite a few optional drivers that depend on 'external libraries'. Python, or HDF4, it is often necessary to install the -dev version of the package. Geospatial Data Abstraction Library (GDAL) is a translator library for raster geospatial data formats. As the name implies, GDAL has an abstraction layer that hides format-specific details, which means there is only one GDAL API regardless of file format.
| installing MODIStsp requires many dependencies: |
| library(RGtk2; rgdal; cairo; sp; bitops; data.table; gdalUtils; hash; gWidgets; rgeos; xts; XML; xml2; stringr; httr; RJSONIO; chron; iterators; digest; pacman; curl) |
| and for MAC OSX sierra, there are two main issues: |
| 1. As outlined here in the comment by @tobybot11 (https://gist.github.com/sebkopf/9405675) Rgtk requires the x11 libraries/headers (gdk/gdkx.h specifically) |
| and doesn't work with the quartz libraries/headers which now is the default for GTK |
| 2. When installing the dependencies gWidgetsRGtk2 and cairoDevice from CRAN you need to choose the version 'OS X Mavericks binaries' |
| and not 'Package source' |
| To start, update to the recent R package, then update packages |
| #1. update packages |
| update.packages() |
| #2. install the development version of devtools: |
| install.packages(c('devtools')) |
| devtools::install_github('hadley/devtools') |
| #3. install RGtk2 using Homebrew https://gist.github.com/sebkopf/9405675 |
| #first ensure you have cairo installed with '--with-x11': |
| # brew uninstall cairo --ignore-dependencies |
| # brew install --with-x11 cairo |
| #next edit configure options for GTK to require x11 rather than Quartz: |
| # brew edit gtk+ |
| # --with-gdktarget=x11 |
| # --enable-x11-backend |
| # brew install --build-from-source --verbose gtk+ |
| # export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:/usr/local/lib/pkgconfig/gtk+-2.0.pc:/opt/X11/lib/pkgconfig |
| #next go to CRAN and download RGtk2_2.20.33.tar.gz and run: |
| # R CMD INSTALL RGtk2_2.20.33.tar.gz |
| library(RGtk2) |
| #4. install GDAL first using: brew install gdal |
| # since rgdal is not looking in /usr/local/lib must include that with install.packages(), line below |
| install.packages('rgdal', type = 'source', configure.args=c('--with-proj-include=/usr/local/include','--with-proj-lib=/usr/local/lib')) |
| # check all dependencies are there |
| library(RGtk2) |
| library(rgdal) |
| library(cairo) |
| library(sp) |
| library(bitops) |
| library(data.table) |
| library(gdalUtils) |
| library(hash) |
| library(gWidgets) |
| library(rgeos) |
| library(xts) |
| library(XML) |
| library(xml2) |
| library(stringr) |
| library(httr) |
| library(RJSONIO) |
| library(chron) |
| library(iterators) |
| library(digest) |
| library(pacman) |
| library(curl) |
| #5. library(gWidgetsRGtk2) |
| #### very important !!!! in CRAN choose the version 'OS X Mavericks binaries' for |
| #### gWidgetsRGtk2 and cairoDevice, not 'Package source', and it will work for |
| #### R version 3.4, mac OS X Sierra. Move both to Frameworks/R.framework/3.4.. and |
| #### open R and run the code below. This will also install cairoDevice |
| install.packages('gWidgetsRGtk2', lib='~/Library/Frameworks/R.framework/Versions/3.4/Resources/library/gWidgetsRGtk2') |
| library(gWidgetsRGtk2) |
| library(cairoDevice) |
| #6. install development version of MODIStsp from github |
| library(devtools) |
| install_github('lbusett/MODIStsp', ref = 'master') |
| library(MODIStsp) |
| MODIStsp() |
| #gave error, when I restart R it worked! |
| #but then, I ran MODIStsp() and got this error: 'Your local GDAL installation does not support HDF4 format. Please install HDF4 support and recompile GDAL.' |
| # I had to unistall GDAL in brew and follow notes here (http://r-sig-geo.2731867.n2.nabble.com/OSX-rgdal-GDAL-drivers-and-HDF4-td7588400.html): |
| # > brew install hdf4 |
| # prefer hdf4 links over NetCDF |
| # > brew link --overwrite hdf4 |
| # > brew install gdal --complete --enable-unsupported --with-hdf4 |
| # check what drivers are installed, list should include hdf4: |
| # > gdal-config --formats |
| # Good luck! |
| ########################################################## |
| # in case R beggins to hangup constantly |
| # these 3 lines of code remove all packadges, |
| # except base R (this solved fatal errors from happening) |
| ########################################################## |
| ip <- installed.packages() |
| pkgs.to.remove <- ip[!(ip[,'Priority'] %in% c('base', 'recommended')), 1] |
| sapply(pkgs.to.remove, remove.packages) |
| # this line installs them again, but you loose non-base packages |
| sapply(pkgs.to.remove, install.packages) |
Released:
GDAL: Geospatial Data Abstraction Library
Project description
This Python package and extensions are a number of tools for programming andmanipulating the GDAL Geospatial Data Abstraction Library. Actually, it istwo libraries – GDAL for manipulating geospatial raster data and OGR formanipulating geospatial vector data – but we’ll refer to the entire packageas the GDAL library for the purposes of this document.
The GDAL project (primarily Even Rouault) maintains SWIG generated Pythonbindings for GDAL and OGR. Generally speaking the classes and methods mostlymatch those of the GDAL and OGR C++ classes. There is no Python specificreference documentation, but the GDAL API Tutorial includes Python examples.
Dependencies
- libgdal (3.0.4 or greater) and header files (gdal-devel)
- numpy (1.0.0 or greater) and header files (numpy-devel) (not explicitlyrequired, but many examples and utilities will not work without it)
Installation
Unix
The GDAL Python bindings support both distutils and setuptools, with apreference for using setuptools. If setuptools can be imported, setup willuse that to build an egg by default. If setuptools cannot be imported, asimple distutils root install of the GDAL package (and no dependencychaining for numpy) will be made.
easy_install
GDAL can be installed from the Python CheeseShop:
It may be necessary to have libgdal and its development headers installedif easy_install is expected to do a source build because no egg is availablefor your specified platform and Python version.
setup.py
Most of setup.py’s important variables are controlled with the setup.cfgfile. In setup.cfg, you can modify pointers to include files and libraries.The most important option that will likely need to be modified is thegdal_config parameter. If you installed GDAL from a package, the locationof this program is likely /usr/bin/gdal-config, but it may be in another placedepending on how your packager arranged things.
After modifying the location of gdal-config, you can build and installwith the setup script:
If you have setuptools installed, you can also generate an egg:
Building as part of the GDAL library source tree
You can also have the GDAL Python bindings built as part of a sourcebuild by specifying –with-python as part of your configure line:
Use the typical make and make install commands to complete the installation:
A note about setuptools
./configure attempts to detect if you have setuptools installed in the treeof the Python binary it was given (or detected on the execution path), and itwill use an egg build by default in that instance. If you have a need touse a distutils-only install, you will have to edit setup.py to ensure thatthe HAVE_SETUPTOOLS variable is ultimately set to False and proceed with atypical ‘python setup.py install’ command.
Windows
You will need the following items to complete an install of the GDAL Pythonbindings on Windows:
- GDAL Windows Binaries Download the package that best matches your environment.
As explained in the README_EXE.txt file, after unzipping the GDAL binaries youwill need to modify your system path and variables. If you’re not sure how todo this, read the Microsoft Knowledge Base doc
Add the installation directory bin folder to your system PATH, rememberto put a semicolon in front of it before you add to the existing path.
Create a new user or system variable with the data folder fromyour installation.
Skip down to the Usage section to test your install. Note, a rebootmay be required.
SWIG
The GDAL Python package is built using SWIG. The earliest version of SWIGthat is supported to generate the wrapper code is 1.3.40. It is possiblethat usable bindings will build with a version earlier than 1.3.40, but nodevelopment efforts are targeted at versions below it. You should not haveto run SWIG in your development tree to generate the binding code, as itis usually included with the source. However, if you do need to regenerate,you can do so with the following make command from within the ./swig/pythondirectory:
To ensure that all of the bindings are regenerated, you can clean thebindings code out before the generate command by issuing:
Usage
Imports
There are five major modules that are included with the GDAL Python bindings.:
Additionally, there are five compatibility modules that are included butprovide notices to state that they are deprecated and will be going away.If you are using GDAL 1.7 bindings, you should update your imports to utilizethe usage above, but the following will work until at least GDAL 2.1.
If you have previous code that imported the global module and still need tosupport the old import, a simple try…except import can silence thedeprecation warning and keep things named essentially the same as before:
Docstrings
Currently, only the OGR module has docstrings which are generated from theC/C++ API doxygen materials. Some of the arguments and types might notmatch up exactly with what you are seeing from Python, but they should beenough to get you going. Docstrings for GDAL and OSR are planned for a futurerelease.
Numpy/Numeric
One advanced feature of the GDAL Python bindings not found in the otherlanguage bindings (C#, Perl) is integration with the Python numerical arrayfacilities. The gdal.Dataset.ReadAsArray() method can be used to read rasterdata as numerical arrays, ready to use with the Python numerical arraycapabilities.
These facilities have evolved somewhat over time. In the past the package wasknown as “Numeric” and imported using “import Numeric”. A new generation isimported using “import numpy”. Currently the old generation bindings onlysupport the older Numeric package, and the new generation bindings onlysupport the new generation numpy package. They are mostly compatible, andby importing gdalnumeric (or osgeo.gdal_array) you will get whichever isappropriate to the current bindings type.
Examples
One example of GDAL/numpy integration is found in the val_repl.py script.
Performance Notes
ReadAsArray expects to make an entire copy of a raster band or dataset unlessthe data are explicitly subsetted as part of the function call. For largedata, this approach is expected to be prohibitively memory intensive.
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size GDAL-3.0.4.tar.gz (577.2 kB) | File type Source | Python version None | Upload date | Hashes |
Hashes for GDAL-3.0.4.tar.gz
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