An R Package aimed at end-users of state-of-the-art climate reanalysis data to streamline retrieval, pre-processing, and statistical interpolation of ERA5(-Land) data.
Workshop material for getting started and becoming adept at using the `R` Package `KrigR` which provides a flexible and easy-to-use workflow for state-of-the-art climate data practices.
Throughout this project, I aim to identify underlying causes - biological and abiotic - to the striking patterns of vegetation memory I identified in a previous project.
Vegetation memory has been proposed as a proxy for ecosystem resilience. Here, I investigate how well this proxy captures processes of vegetation performance.
A web-based workshop to introduce the `R`-Package `KrigR` which introduces intuitive downloading and downscaling methods for ERA5(-Land) climate reanalysis data to `R`-users.