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Ottmar Cronie

Senior Lecturer

School of Public Health and Community
Visiting address
Medicinaregatan 18a
41390 Göteborg
Postal address
Box 463
40530 Göteborg

About Ottmar Cronie

The theme of my research group is spatial/spatio-temporal statistics, with applications in health and climate change (a sub-group of the Biostatistics research group, School of Public Health & Community Medicine, University of Gothenburg).

I am a mathematical statistician who mainly has been working on statistical methods for point process/pattern analysis; particular focus has been on non-parametric and data-driven methods. Most of my work has been published in high-quality statistics journals. A few of the applications areas which I have worked on include ambulance call dynamics, disease dynamics, forestry, earthquakes, fires and climate change.

I am one of the authors of the R package ‘stlnpp’ which does statistical analyses of spatio-temporal point patterns on linear networks ( In addition, I have been labelled “substantial contributor” by the team behind the R package “spatstat”.

Before joining the School of Public Health & Community Medicine at University of Gothenburg, I was an Assistant Professor in mathematical statistics at Umeå University (2015-2020), a postdoc at the research centre CWI in Amsterdam (2013-2014) and a senior lecturer in mathematics at Anton de Kom University, Surinam (2012). I earned my PhD in mathematical statistics from Chalmers University of Technology in 2012 (under the supervision of Professor Aila Särkkä).

Postdocs (main supervisor):

  • Fekadu Bayisa, Umeå University, Sweden (2018-2020). Topic: Modelling and forecasting of emergency calls.
  • Mohammad Ghorbani, Umeå University, Sweden (2018-2020). Topic: Large-scale spatio-temporal modelling of forests

PhD students (co-supervisor):

  • Konstantinos Konstantinou, Chalmers University of Technology, Sweden (2020-).
  • Fekadu Bayisa, Umeå University, Sweden (2015-2018). Thesis title: Statistical Methods in Medical Image Estimation and Sparse Signal Recovery.
  • Adina Iftimi, Universitat de Valencia, Burjassot, Spain (2014-2017). Thesis title: Methods for the statistical analysis of spatio-temporal data.

Further details about my work can be found on: