Environmental Data Science Toolbox

This is a prototype version of the National Capability UK (NC-UK) Environmental Data Science Toolbox, hosted by the UK Centre for Ecology & Hydrology (UKCEH). The aim is to apply FAIR principles (Findable, Accessible, Interoperable, and Reusable) to a collection of data science methods that are generalizable across different environmental applications, with a focus on integrative modelling. The hope being that this will encourage cross-disciplinary use of methods, enhancing national environmental research.

If you’re interested in contributing to this project it would be great to hear from you and you can find details of how to do so via the CONTRIBUTING.md page in the root of the repository. 🌞

The current recommended workflow for interactively engaging with the code in the methodology notebooks is to clone the Notebook Repository linked at the top of each notebook to get access to the relevant files and then to create a virtual environment and test running different sections of the code in your favourite IDE, such as VS Code.

Methods	Key Concepts	Key Datasets
Bias Correction of Climate Models Ongoing Development	Gaussian Processes, Bayesian Hierarchical Modelling	Climate Model Output, In-situ Weather Station Measurements
Calculating Risk to Terrestrial Carbon Pool Ongoing Development	Data Access, Data Integration	MODIS Land Cover and Net Primary Production Products, European Space Agency (ESA) Climate Change Initiative (CCI) Soil Moisture Dataset, Global Standardized Precipitation-Evapotranspiration Index (SPEI) Dataset.
Understanding the error of Multispecies Biodiversity Indicators Ongoing Development	Bias, Uncertainty	Simulated Dataset (Multispecies Occupancy).
Joint Species Distribution Models with jsdmstan	Stochastic Partial Differential Equations, Integrated Nested Laplace Approximations,	Simulated Dataset (Multispecies Populations).
Accessing EA Data via an API Planned	Data Access, Data Integration
Data Pipelines for JULES Emulation/Portable JULES Planned
River Utility Tools Planned	Spatio-temporal Integration, Networks
CSV File Checker Planned	Data Quality, Data Integrity
Spatio-temporal Data Integration with INLA Tentative	Spatio-temporal Integration, Bayesian
Understanding and Modelling Spatio-temporal Lags along Networks Tentative	Spatio-temporal Integration, Networks
State Tagging for Environmental Data QA Tentative	Data Quality, Data Integrity