diff --git a/README.md b/README.md
index 33ea204..b868a8b 100644
--- a/README.md
+++ b/README.md
@@ -9,10 +9,21 @@ Visualize classified time series data with interactive Sankey plots in Google Ea
 `sankee` provides a dead-simple API that combines the power of [GEE](https://github.com/google/earthengine-api) and [Plotly](https://github.com/plotly/plotly.py) to visualize changes in land cover, plant health, burn severity, or any other classified imagery over a time series in a region of interst using interactive Sankey plots. Use a library of built-in datasets like NLCD, MODIS Land Cover, or CGLS for convenience or define your own custom datasets for flexibility.
 
 ## Installation
+### Using pip
 ```
 pip install sankee
 ```
 
+### Using pipenv
+Pipenv can be used to create an isolated environment for running `sankee`. The following commands set up the environment and create a kernel so that you can run a notebook from it.
+```sh
+pip install pipenv
+pipenv install sankee
+pipenv shell
+python -m ipykernel install --user --name=my-virtualenv-name
+```
+
+
 ## Requirements
 - An authenticated GEE Python environment ([offical guide](https://developers.google.com/earth-engine/guides/python_install))