pyprecag is available through the Python Packaging Index and can be installed with pip, however some dependencies require additional steps to install properly.
It is recommended to install pyprecag in a virtual environment so that the dependencies do not cause issues with your system-level Python installation.
VESPER Kriging is only supported on Windows platforms with the VESPER software installed.
Install via pip:
pip install pyprecag
The only dependency that causes issues is GDAL . The Python package is available from PyPI . However, the libgdal-dev dependencies are required, and the location of the header files needs to be specified when installing. These libraries are available via UbuntuGIS and other avenues.
On Debian systems, this process should work. Add the unstable release of UbuntuGIS, get and install packages with:
sudo apt-get install software-properties-common sudo apt-add-repository ppa:ubuntugis/ubuntugis-unstable sudo apt-get update sudo apt-get install libgdal-dev gdal-bin
If the above doesn’t work try removing all gdal related files from the /etc/apt/sources.list.d direcory and trying again (it’s possible old files are interfering with install attempts).
Once the libgdal-dev libraries and gdal-bin are installed, pip install GDAL while specifying the version and the location of the header files with:
pip install GDAL==$(gdal-config --version) --global-option=build_ext --global-option="-I/usr/include/gdal"
Then pyprecag should install without issue.
The Dockerfile included in the examples directory builds a container with Pyprecag installed in an Ubuntu 18.04 image. Build the container with:
docker build -f docs/Dockerfile -t <tag> .
The tests can be run inside this container like this:
docker run <container id or tag> make test
The easiest way to install all of these is with the Windows Binaries provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/. Download the Python 2.7 version for your system architecture then install them with:
pip install /path/to/<downloaded_file.whl>
It is recommended to install GDAL first, as it is a requirements for both Fiona and Rasterio. GDAL might also return an error and require you to install Visual C++.
They are also available from the conda-forge channel in conda. pyprecag is not currently available to install with conda, however can be pip installed in a conda environment and use the conda-installed versions of GDAL, Fiona and Rasterio.
Once those three dependencies are installed, pyprecag should install without issue.