Spatial statistics
One of my main research strands is methodological and deals with spatial-statistical approaches. My research investigates existing approaches from the spatial statistical toolbox. I am interested in how these methods interact with different types of datasets and what their results mean in practice. In addition, I explore new approaches for the disclosure and modelling of spatial structures. My work thereby focuses on estimators of spatial autocorrelation, hotspot statistics, measures of spatial heterogeneity, and spatial filtering techniques. A special focus of my work is the spatial statistical analysis of user-generated geographic information, such as that extracted from social media feeds. Due to their collaborative character, these datasets are characterised by a high degree of heterogeneity and complex geographical associations. Understanding how established methods work in conjunction with these novel datasets, and exploring new ways to study them in a spatial-analytical manner is a key research topic for me.
Place and statistics
I also engage in the emerging field of place-based (‚platial‘) information. People interact with their personal geographic spaces on an everyday basis. This includes human activity spaces (the everyday local areas in which we move), spaces to which we feel emotionally attached and to which we ascribe meaning (our personal, subjective everyday geography), and affordances (functions provided by our local geography). This view of geographical space is the usual modus operandi in human geography. However, this so-called place space does not lend itself easily to formalisation and quantitative approaches. New ways of representing such complex and highly relevant human geographic spaces are needed, and I contribute to this ambitious endeavour. I investigate how to conceptualise and formalise complex places, how these can be processed analytically, how people represent places in information, and how places can be visualised. A special topic for me in this context of platial research is to investigate how information about often idiosyncratic places can be statistically processed. In this way, I aim to contribute to important analytical advances for the toolboxes of spatial planning and geography.
Quantitative geography
I am also committed to applied research. A third topic to which I contribute regularly is quantitative geography, where I apply spatial statistical methods to answer complex geographical questions. My research in this area has addressed topics as diverse as location-based games, check-in patterns, and the geographical access to basic banking services. These quantitative geographic studies are usually conducted with a wide range of national and international partners. I therefore see this type of research as a fruitful catalyst and interface to link my methodological findings and new techniques with empirical research from spatial planning, geography, urban studies, mobility research, and other fields. Furthermore, my methodological research topics are often embedded in empirical subjects. In this way, I combine my methodological research with regular empirical contributions.
