Geospatial Data and Maps with Python for Data Umbrella - March 1, 2022

• Presentation Video
• Slides

Data Sources

• City Data
• Washington State Hikes
• Washington State City Boundaries
• Washington State Transit Stops

Getting Started

• If you are familiar with GitHub, fork (if you wish) and clone this repository. If not, download the repository and unzip to a working directory. Take note of where you put it!

• Install Miniconda for your operating system. Please choose the latest Python 3.x version.

• You should now have access to an Anaconda command prompt, open it like you would any program. Note that you should see (base) somewhere in your prompt. This means you're in the base Conda environment, which we will now change.

Navigate to the directory containing environment.yml (included in the repo).

cd [location where the repo is saved]/Data_Umbrella_Geospatial_Data

• Create the Conda environment needed to run the notebooks. Note: it is called geopandasenv. This could take anywhere from 10-30 minutes to finish.

conda env create environment.yml

• Activate the environment.

source activate geopandasenv  # macOS and Linux
activate geopandasenv  # Windows.

• To open the Jupyter Notebooks included in this tutorial, in the Anaconda prompt navigated to the Notebook directory, type in:

jupyter notebook

This will open a browser where you can click and open each Notebook.

• To deactivate the geopandasenv environment, type the following in the Anaconda prompt:

source deactivate  # macOS and Linux
deactivate  # Windows.