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All Projects → alan-turing-institute → monitoring-ecosystem-resilience

alan-turing-institute / monitoring-ecosystem-resilience

Licence: MIT License
Repository for mini-projects in the Data science for Sustainable development project

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monitoring-ecosystem-resilience

Repository for mini-projects in the Data science for Sustainable development project.

Currently the focus of code in this repository is understanding vegetation patterns in semi-arid environments.

The code in this repository is intended to perform three inter-related tasks:

  • Download and process satellite imagery from Google Earth Engine.
  • Generate simulated vegetation patterns.
  • Calculate graph metrics to quantify the interconnectedness of vegetation in real and simulated images.

Python

The tasks above are all implemented in Python in the pyveg package. See the README.md in the pyveg subdirectory for details on installation and usage.

R

The pattern-generation and graph-modelling are implemented in R in the rveg package. See the README.md in the rveg directory for further details.

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