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JohnnyRyan1 / geospatial-data-science

Course materials for Geospatial Data Science (GEOG490)

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General and specific issues (12/31/2021)

sigmafelix opened this issue · comments

commented

Hello,
I went through the up-to-date version of the materials and want to add some comments. For now, I do not make a pull request.

  • General: paths should be normalized or directly refer to each lab path (i.e., os.getcwd())
  • Lab 2: The wildfire dataset, ./data_preparation/Wildfires/OR_1992-2018.shp, seems to be made by ./labs/lab2/scripts/data_prep.py. I wonder if the original dataset (which is larger than 700MB in GeoPackage format) will be given or be asked to be downloaded on their own.
  • Lab 4: The 2020 daily cloud data in NetCDF format (usa_t2m_cloud_2020.nc) is missing. I guess that is because the file is too big to upload on GitHub.
  • Lab 5: Training data (training_data.csv) is missing.

Thank you.

Best,

commented

Thanks! I would be interested to get your thoughts on path names as it confused some people today.

I have added the data for Labs 2 and 4 to Dropbox.

Still working on Lab 5.

commented

Following our brief discussion in the Wednesday lab session, I found that a markdown block in a Jupyter notebook does not accept any absolute path. Single and double dots in Unix-like systems did not work for accessing files in directories other than the directory of the notebook. I think it would be better to recommend students copy any image they want to use in their Jupyter notebook into the working directory beforehand.

I will upload the updated files to the network drive.