Hi. I’m Erik Kusch, a PhD student of Ecoinformatics and Biodiversity who creates and applies novel statistical methods to big-data.

I aim to understand how global and local processes and patterns in biological systems come about and are reinforced thus generating knowledge about the resilience of the Earth’s ecosystems. My PhD project is under the guidance of Alejandro Ordonez and co-supervised by Roberto Salguero-Gómez.

Projects

A few things I am currently working on or have finished researching (for now).

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Causes and Processes of Dryland Vegetation Memory

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.

Bayes Study Group

Bayes Study Group

I have established and run a group-exercise for learning Bayesian Statistics from the ground up with an assortment of colleagues. This group was run through zoom and open to anyone.

BIOlogical response RATES to current rates of environmental changes

BIOlogical response RATES to current rates of environmental changes

My PhD project is a part of this greater research framework within which my colleagues and I investigate how species compositions and interactions are shaped.

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

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 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.

Courses

Some teaching and course material I have created and feel is good enough to share.

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An Introduction to Biostatistics

Lectures and seminars for B.Sc. students of biology which should serve as an introduction to the basics of biostatistics using R.

Bayesian Networks

Material for a Bayesian Network study group I am running.

BFTP - Biome Detection through Remote Sensing

Exercises for the BFTP (Biological Scientific Research in Theory and Practice) course at Aarhus University. Here I walk you through the basics of remote sensing analyses in R as needed for macroecological purposes.

Excursions into Biostatistics

A selection of talks related to general topics of biostatistical concern I have given throughout the years.

KrigR Workshop

Workshop material for getting started and becoming adept at using the R Package KrigR.

Statistical Rethinking

Summaries and solutions to exercises contained in the Statistical Rethinking material by Richard McElreath.