Watersheds project

Image credit: Wikipedia

What is this about?

Watersheds, or catchments, are pieces of land where precipitation collects and drains off into a a river, bay, or other body of water. It is important to be able to manage watersheds for ecological reasons—for maintaining natural habitats and climate—and geopolitical reasons—watersheds are often used as political boundaries.

Watersheds can be controlled through constructions like dams, or using nature-based solutions, like changing cutting out the forest around the catchment. One of the ongoing tasks of Natural Capital at Stanford is understanding the performance of various nature-based solutions in different conditions.

Our goal for this project is to summarize data from studies that performed experiments with watersheds in easy-to-comprehend graphics. The users should be able to dig in the details when needed. Finally, we should show and take extra care about statistical significance of the studies.

Dataset description

The dataset contains extracted key information from various studies that performed experiments with watersheds around the world in the last several decades. It is the result of ongoing research; currently, it contains 34 rows describing different study results. Get to know the nitty-gritty details about it.


And their timeline



Check it out here

Multiple calls across 9 timezones

New data points four days before the mid-term deadline

Data analysis and draft plots
Seaborn prototype
D3 visualisation

Project finished

Process book
Project finished

Our team

Cosmin Rusu

Cosmin Rusu

Data Science Master's @EPFL.

Bogdan Kulynych

Bogdan Kulynych

PhD student @ EPFL, working on Privacy, Security, and Machine Learning.

Jean Bejjani

Jean Bejjani

Master's student and Research Assistant @ LIS EPFL.