Research
My research is divided between theoretical and applied statistics, with particular focus on spatial data problems.
Journal articles
Reindeer shape soil methanogenic and methanotrophic communities in subarctic fen peatlands, with a minor impact on methane emissions — A field study
soil sciences
Laboratory and field studies with other grazer species suggest that reindeer (Rangifer tarandus L.) grazing on northern peatlands could shape the peat soil microbial communities and lead to higher ecosystem methane (CH4) emissions. We investigated this at two sedge…
Tests for isotropy in spatial point patterns – A comparison of statistical indices
point patterns
anisotropy
statistical power
Code: All of the summary statistics are implemented in
Kdirectional
Seasonal and diel activity patterns of the endangered taiga bean goose (Anser fabalis fabalis) during the breeding season, monitored with camera traps
wildlife
Taiga bean goose (Anser fabalis fabalis) is an endangered subspecies that breeds sporadically in remote habitats in the arctic and boreal zones. Due to its elusive behaviour, there is a paucity of knowledge on…
Assessing local trends in indicators of ecosystem services with a time series of forest resource maps
time-series analysis
remote sensing
NFI
Related R-package: Contextual Mann-Kendall test,
ConMK (github)
A Bayesian hierarchical point process model for epidermal nerve fiber patterns
point patterns
epidermal nerve fibers
Bayesian modelling
We introduce the Thomas process in a Bayesian hierarchical setting as a model for point pattern data with a nested structure. This model is applied to a nerve fiber data set…
When do we have the power to detect biological interactions in spatial point patterns?
point patterns
statistical power
Detecting Multivariate Interactions in Spatial Point Patterns with Gibbs Models and Variable Selection
point patterns
biodiversity
Gibbs models
Code: R-package PenGE
Hierarchical models for epidermal nerve fiber data
point patterns
epidermal nerve fibers
Bayesian modelling
While epidermal nerve fiber (ENF) data have been used to study the effects of small fiber neuropathies through the density and the spatial patterns of the ENFs, little…
Variational Bayes Approach for Classification of Points in Superpositions of Point Processes
point patterns
Variational Bayes
Observation errors
We investigate the problem of classifying superpositions of spatial point processes. In particular, we are interested in realizations formed as a superposition of a regular…
Bayesian analysis of a Gibbs hard-core point pattern model with varying repulsion range
point patterns
Bayesian modelling
Gaussian processes
A Bayesian solution is suggested for the modelling of spatial point patterns with inhomogeneous hard-core radius using Gaussian processes in the regularization. The key…
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