Statistical Downscaling

KrigR Workshop - Introduction to the R Package

A short introduction to the KrigR R Package designed to download, aggregate, and statistically downscale state-of-the-art climate data.

Causes and Processes of Dryland Vegetation Memory

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.

KrigR - Downloading and Downscaling of ERA5(-Land) data using R

An `R` package designed for intuitive downloading, aggregating, and statistical downscaling of ERA5(-Land) data.

Vegetation Memory across Global Dryland Regions

Vegetation memory has been proposed as a proxy for ecosystem resilience. Here, I investigate how well this proxy captures processes of vegetation performance.

KrigR - Downscaling State-of-the-Art Climate Data for Macroecologists

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.

Intrinsic vegetation memory as a proxy of engineering resilience may be an oversimplification.

A poster about my recent vegetation memory in global dryland research I presented at ISEC 2020.

KrigR - Climate Data for Your Spatial Study

A short introduction talk to my `R`-Package `KrigR` in its early development.

Identifying Ecological Memory Patterns in Drylands Using Remote Sensing and State-of-the-art Climate Reanalysis Products

A presentation about my recent vegetation memory in global dryland research I presented and won some awards for at ISEM 2019.

Intrinsic vegetation memory as a proxy of engineering resilience may be an oversimplification.

A poster about my recent vegetation memory in global dryland research I presented and won some awards for at ISEM 2019.

Inferring Vegetation Memory from Remote Sensing Data using novel Climate Reconstruction Products

The defense of my [M.Sc](/publication/journal-article/m.sc._inferring-vegetation-memory-from-remote-copy/) thesis.