Installing Dependencies

It looks like your are missing a required dependency for GeoTrace! GeoTrace uses Numpy, Matplotlib, mplstereonet and scikit-image, so you will need to make sure these are installed for your python distribution. QGis should come bundled with Numpy and Matplotlib. The other packages can be installed using pip.

Windows

Installing mplstereonet and scikit-image on Windows can be a little tricky, as skimage contains uncompiled c-code. The following instructions should work in most cases however:

  1. Open the start menu and search for OSGeo4W Shell. Right-click on it and select Run as administrator. This tool gives you access to the qGIS version of python
  2. Check pip (a python package manager) is up to date with the following: python -m pip install --upgrade setuptools
  3. Install mplstereonet first, using the following command: python -m pip install mplstereonet
  4. Download precompiled 32 bit python wheels for cython and scikit-image 2.7 (otherwise you need to install a c-compiler) from:
  5. Navigate the console to the directory containing these downloaded wheels: cd C:/DirectoryName/Wheels
  6. Install each package using pip: python -m pip install Cython-0.26-cp27-cp27m-win32.whl and python -m pip install scikit_image-0.13.0-cp27-cp27m-win32.whl

Assuming these all installed correctly, you should now be set to use the plugin after you restart QGIS

Linux/OXS

Linux and OSX should be much simpler because they have a working C compiler.

  1. Open a terminal window 'ctrl+alt+t'
  2. Install mplstereonet first, using the following command: sudo pip install mplstereonet
  3. Install scikit-image using the following command: 'sudo pip install scikit-image'

Further Reading and Citation

If you found this tool useful, please cite Thiele et al., 2017. The publication also contains a more detailed description of the methods employed by this plugin.

Thiele, S. T., Grose, L., Samsu, A., Micklethwaite, S., Vollgger, S. A., and Cruden, A. R.: Rapid, semi-automatic fracture and contact mapping for point clouds, images and geophysical data, Solid Earth, 8, 1241-1253, https://doi.org/10.5194/se-8-1241-2017, 2017