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| Created: | Mar 03, 2020 at 1:46 a.m. | |
| Last updated: | Mar 06, 2020 at 2:18 a.m. | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Raster Content |
| Sharing Status: | Public |
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Abstract
Data and code for processing saturation extent and depth to water table DHSVM output.
Subject Keywords
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Spatial
Content
README.md
SkagitLandslideHazards
Seattle City Light is interested in improving understanding of landslide hazard and sediment transport to ensure reliable and cost-effective hydropower generation.
Setup
To avoid dependency issues between python packages a conda environment containing the package versions is defined in skagit.yml.
- In one of the Jupyter notebooks add a cell and get the current working directory:
import os print(os.getcwd()) - Open a Terminal in Hydroshare and do:
- Change directory to the directory you got from running the Python code above.
- Create the conda environment using the environment definition file:
conda env create -f skagit.yml - Activate the conda environment:
source activate skagit. This will take some time. - Install the conda environment as a kernel:
python -m ipykernel install --user --name skagit --display-name "Skagit" - Open one of the Jupiter notebooks and change its kernel to be "Skagit". You may have to restart the kernel for the new one to show up.
Data Services
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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