9-ODM2Python&R.md

Using ODM2 with Python & R to Integrate Data

Presenting: Emilio & Dylan Beaudette

USDA-NRCS Soil Survey Data: sources, usage notes, and analysis (Dylan)

• Slides: http://ncss-tech.github.io/AQP/presentations/2017-CZO-UCR-data-sources-aqp/presentation.html
• Info: http://ncss-tech.github.io/AQP/
• Repos: https://github.com/ncss-tech

Jupyter Notebooks in Python & R leveraging:

• Run Jupyter Notebook in R
  • Download this Conda environment file: https://github.com/BiG-CZ/wshp2017_tutorial_content/blob/master/renvironment.yml
  • Create a new Conda environment, with an R kernel, following the instructions here (but using the "renvironment.yml" file you just downloaded):
    • https://github.com/BiG-CZ/wshp2017_tutorial_content/blob/master/install-conda.md#creating-the-odm2client-conda-environment
  • Run/view this notebook: https://github.com/BiG-CZ/wshp2017_tutorial_content/blob/master/notebooks/R_WaterMLservices_EnviroDIY.ipynb
• BiG-CZ Portal catalog search JSON
• Geoprocessing API’s (https://staging.app.wikiwatershed.org/api/docs/)

Sample/Specimen Data

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