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Invited Speakers

Peter Atkinson

Lancaster University, UK

Peter’s research can be characterized as "spatial data science” and it arises out of the application of quantitative geography to remotely sensed data. Specifically, it involves the application of space-time statistics and geostatistics, machine learning and numerical modeling, to Earth observation (EO) and other environmental and social data, to answer a wide range of science and social science questions.

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Adrian Baddeley

Curtin University, Australia

More information coming soon...

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Catherine Calder

The Ohio State University, USA

Dr. Calder’s research interests are in spatial and spatio-temporal statistics, network analysis, and Bayesian methods.

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Stefano Castruccio

University of Notre Dam, USA

Talk Title: Modeling global climate data on a grid
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Stefano Castruccio is an Assistant Professor at the University of Notre Dame. He obtained his PhD at the University of Chicago, and worked at King Abdullah University of Science and Technology in Saudi Arabia, and then Newcastle University, in the UK before his current appointment.

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Janine Illian

University of St Andrews, Scotland

Expertise:

Spatial statistics; statistical methods for spatial and spacio-temporal data, especially spatial point process modelling; functional data analysis; statistical modelling of ecological communities especially for biodiversity.

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Jose Miguel Angulo

University of Granada, Spain

More information coming soon...

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Mari Myllymäki

Natural Resources Institute Finland (Luke), Finland

Expertise:Statistical modelling, spatial statistics, spatial and spatio-temporal point processes with applications, development of statistical models and methods for forest inventories.
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Dr. Mari Myllymäki holds currently the Academy Research Fellow position at Natural Resources Institute Finland (Luke) in Helsinki, Finland. She received this funding for her project on statistical analysis of spatial and spatio-temporal point pattern data from the Academy of Finland in 2016.

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Edzer Pebesma

University of Münster, Germany

Edzer Pebesma leads the spatio-temporal modelling laboratory at the institute for geoinformatics of the University of Muenster. He holds a PhD in geosciences, and has interests in spatial statistics, environmental modelling and monitoring, and in e-Science and reproducible research.

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