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.
Exploration of the usage of KrigR and implications for the wider field of climate data products for the use in Life Science research.
A short introduction to the KrigR R Package designed to download, aggregate, and statistically downscale state-of-the-art climate data.
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.
An `R` package designed for intuitive downloading, aggregating, and statistical downscaling of ERA5(-Land) data.
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.
A poster about my recent vegetation memory in global dryland research I presented at ISEC 2020.
A short introduction talk to my `R`-Package `KrigR` in its early development.
A presentation about my recent vegetation memory in global dryland research I presented and won some awards for at ISEM 2019.