A simple GIS workflow with Python and R - Cugos Spring Fling 2017
Sources
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All data from the King County GIS Data Portal.
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The Python portion of this tutorial is modified from this Maptime Meetup workshop (Feb. 8, 2017), which is adapted from materials prepared by Emilio Mayorga for the University of Washington GeoHack week event, Nov 14-18, 2016. We'll be using some of those materials ("Vector Data Processing using Python Tools") directly in some cases, as is.
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The R portion of this tutorial is modified from this Maptime Meetup workshop (June 6, 2016) with help from David Fisher.
Getting Started
- If you are familiar with GitHub, fork and clone the repository. If not, download the repository and unzip to a working directory.
Getting Started with the Python Portion
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Install Miniconda for your operating system. Please choose the Python 2.x version of Miniconda as not all packages we'll be using are Python 3-compliant.
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Open your Anaconda prompt. Navigate to the directory containing environment.yml (included in the repo).
conda env create environment.yml # Will create an environment called "geopandasenv"
source activate geopandasenv # OSX and Linux
activate geopandasenv # Windows.- In your Anaconda Prompt navigated to the Notebook directory, type in:
jupyter notebook- Click on SpringFling.ipynb and off we go!