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| Created: | Dec 02, 2020 at 7:10 a.m. | |
| Last updated: | Apr 01, 2021 at 2:46 a.m.
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Abstract
This resource includes two Jupyter Notebooks as a quick start tutorial for the soilgrids data component of the PyMT modeling framework (https://pymt.readthedocs.io/en/latest/).
The soilgrids Python package provides a set of functions that allows downloading of the global gridded soil information from SoilGrids https://www.isric.org/explore/soilgrids, a system for global digital soil mapping to map the spatial distribution of soil properties across the globe. The soilgrids package also includes a Basic Model Interface (BMI https://bmi.readthedocs.io/en/latest/) that can be used for data/model coupling under the PyMT modeling framework.
The pymt_soilgrids Python package uses the BMI of the soilgrids package to convert it into a reusable, plug-and-play data component for PyMT modeling framework. This allows the SoilGrids datasets to be easily coupled with other datasets or models that expose a BMI.
HydroShare users can test and run the Jupyter Notebooks (soilgrids.ipynb, pymt_soilgrids.ipynb) directly through the "CUAHSI JupyterHub" web app with the following steps:
- click on the "Open with" button. (on the top right corner of the page)
- select "CUAHSI JupyterHub". (Need to join the CUAHSI JupyterHub group for the first time web app user.)
- select "CSDMS Workbench" server option. (Make sure to select the right server option.)
If there is any question or suggestion about the soilgrids data component, please create a github issue at https://github.com/gantian127/soilgrids/issues
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| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| PyMT model and data components example | Tian Gan | Public & Shareable | Open Access |
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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