Resources.md

Resources

Download files

DTM file for Flandre including Brussels:

• http://bit.ly/DTM_Flandre

DSM file for Flandre including Brussels::

• http://bit.ly/DSM_Flandre

DTM file for Wallonie:

• http://bit.ly/DTM_Walloine_2013-2014

DSM file for Wallonie:

• http://bit.ly/DSM_Wallonie_2013-2014

BeST: Geographical coordinates with addresses in Belgium:

• https://opendata.bosa.be/index.fr.html

  • CSV Flandres - https://opendata.bosa.be/download/best/openaddress-bevlg.zip
  • CSV Région de Bruxelles - https://opendata.bosa.be/download/best/openaddress-bebru.zip
  • CSV Wallonie - https://opendata.bosa.be/download/best/openaddress-bewal.zip

• BeSt Address provides the address information currently available in the Regions databases.

Websites

• https://www.earthdatascience.org/workshops/gis-open-source-python/open-lidar-raster-python/

• http://patrickgray.me/open-geo-tutorial/chapter_1_rasterio.html

• https://rasterio.readthedocs.io/en/latest/intro.html

• http://chris35wills.github.io/courses/PythonPackages_matplotlib/matplotlib_3d/

• https://github.com/jorisvandenbossche/DS-python-geospatial

• https://github.com/geopandas/scipy2018-geospatial-data

• https://automating-gis-processes.github.io/CSC18/lessons/L6/clipping-raster.html

• http://geoexamples.blogspot.com/2014/02/3d-terrain-visualization-with-python.html

• http://pyproj4.github.io/pyproj/stable/examples.html

• https://pypi.org/project/georasters

• https://natsort.readthedocs.io/en/master/howitworks.html

• https://corteva.github.io/rioxarray/latest/examples/examples.html

• https://geohackweek.github.io/raster/04-workingwithrasters/

• https://jupyter-gmaps.readthedocs.io/en/latest/

• https://www.geeksforgeeks.org/how-to-use-glob-function-to-find-files-recursively-in-python/

• https://medium.com/free-code-camp/how-to-transfer-large-files-to-google-colab-and-remote-jupyter-notebooks-26ca252892fa

• https://github.com/enthought/mayavi

Libraries documentations

• https://geopy.readthedocs.io/en/stable/

• https://pypi.org/project/natsort/

• https://python-visualization.github.io/folium/

• https://rasterio.readthedocs.io/en/latest/

• https://github.com/pyproj4/pyproj

• https://corteva.github.io/rioxarray/stable/examples/clip_geom.html

• https://pypi.org/project/imageio/

• https://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html

• https://github.com/VolkerH/np_obb

Video Links

Introduction to Geospatial Data Analysis with Python (SciPy 2018 Tutorial)

• https://www.youtube.com/watch?v=kJXUUO5M4ok&t=2431s

3D Visualization with Mayavi (SciPy 2018 Tutorial)

• https://www.youtube.com/watch?v=r6OD07Qq2mw

GDAL Tutorial

• https://www.youtube.com/channel/UCrWEjubnm0HenqzOQgAVScw

Stackoverflow & GIS (Geographic Information System) StackExchange Q&A

• http://bit.ly/download_zip_from_jupyter_notebook

• http://bit.ly/natural_sort

• http://bit.ly/Create-Window-On-Raster

• http://bit.ly/extracting-data-from-Raster

• https://docs.enthought.com/mayavi/mayavi/installation.html

• https://apple.stackexchange.com/questions/287200/how-do-i-install-mayavi-for-my-python3-on-macos-sierra