Research output per year
Research output per year
Personal profile
Research
My research focuses on the statistical methods for spatial data with a focus on climate and environmental applications. Most of the work uses Gaussian Markov Random Fields as components of Bayesian hierarchical models often using MCMC, EM or INLA for estimation. My main intradisciplinary focus is on computational methods for large models and datasets.
UKÄ subject classification
- Probability Theory and Statistics
- Climate Research
- Environmental Sciences
Free keywords
- Spatial statistics
- Gaussian Markov Random Fields
- Simulation based inference
- Computational statistics
- Bayesian hierarchical models
- Numerical linear algebra
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Arbitrary position 3D tomography for practical application in combustion diagnostics
Sanned, D., Lindström, J., Roth, A., Aldén, M. & Richter, M., 2022 Dec, In: Measurement Science and Technology. 33, 12, 125206.Research output: Contribution to journal › Article › peer-review
Open Access -
A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis
Raices Cruz, I., Troffaes, M. C. M., Lindström, J. & Sahlin, U., 2022 Jul 30, In: Statistics in Medicine. 41, 17, p. 3365-3379 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Raices Cruz, I., Lindström, J., Troffaes, M. C. M. & Sahlin, U., 2022 Dec, In: Computational Statistics and Data Analysis. 176, 107558.Research output: Contribution to journal › Article › peer-review
Open Access -
Mid-Holocene European climate revisited: New high-resolution regional climate model simulations using pollen-based land-cover
Strandberg, G., Lindström, J., Poska, A., Zhang, Q., Fyfe, R., Githumbi, E., Kjellström, E., Mazier, F., Nielsen, A. B., Sugita, S., Trondman, A. K., Woodbridge, J. & Gaillard, M. J., 2022 Apr 1, In: Quaternary Science Reviews. 281, 107431.Research output: Contribution to journal › Article › peer-review
Open Access -
Pollen based landcover reconstructions help to reveal past climate–human–land-cover interactions in Europe (LANDCLIM2)
Poska, A., Strandberg, G., Lindström, J., Githumbi, E., Fyfe, R., Kjellström, E., Mazier, F., Nielsen, A. B., Sugita, S., Trondman, A-K., Zhang, Q. & Gaillard-Lemdahl, M-J., 2022 Jun 19, 11th European Palaeobotany and Palynology Conference Abstracts, Program and Proceedings. McLoughlin, S. (ed.). Stockholm: Swedish Museum of Natural History, 0.116Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open Access
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Near real-time monitoring and risk mapping of spruce bark beetle attacks - an integrated framework based on remote sensing, geodata and modelling
Olsson, P., Jamali, S., Müller, M., Zhao, P., Svystun, T., Jönsson, A. M., Lindström, J., Persson, A., Mansourian, A. & Ardö, J.
2021/01/01 → 2024/12/31
Project: Research
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CH4DAS: Model-Data Fusion for improving quantification of methane fluxes from wetlands with LPJ-GUESS
Scholze, M., Lindström, J., Rinne, J., Holst, J., Monteil, G. & Theanutti, J.
2018/12/01 → 2023/11/30
Project: Research
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The Air We Breathe
Swietlicki, E., Oudin, A., Miller, P., Kljun, N., Malmqvist, E., Hildingsson, R., Aits, S., May, W., Scholze, M., Roldin, P., Lindström, J., Kristensson, A. & Friberg, J.
2021/08/01 → 2021/12/31
Project: Research
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PAGES LandCover6k fast track project 2020-2021
Gaillard-Lemdahl, M. J., Lindström, J., Githumbi, E. & Pirzamanbein, B.
2021/01/01 → 2021/07/01
Project: Research
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MERGE SP: Pollen-based maps of plant migration in Europe during the Holocene: Creating a dataset for the evaluation of migration models in dynamic vegetation models
Lindström, J., Nielsen, A. B., Poska, A., Githumbi, E. & Gaillard-Lemdahl, M. J.
2020/09/01 → 2021/06/01
Project: Research
Activities
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Fog detection using artificial neural networks
Johan Lindström (First/primary/lead supervisor) & Joakim Viklund (Second supervisor)
2023Activity: Examination and supervision › Supervision of masters students
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Reconstruction of Fire Spread with a Markov Random Field Mixture Model
Johan Lindström (First/primary/lead supervisor)
2023Activity: Examination and supervision › Supervision of masters students
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Computer Vision for Automated Traffic Safety Assessment: A Machine Learning Approach
Johan Lindström (Commissioned member of Examining committee)
2022 Sept 16Activity: Examination and supervision › External Reviewer of PhD thesis/Opponent
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Data-Efficient Learning of Semantic Segmentation
Johan Lindström (Commissioned member of Examining committee)
2022 Jun 13Activity: Examination and supervision › External Reviewer of PhD thesis/Opponent
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ClimBEco Steering committee
Cheryl Sjöström (Chair), Xiangrui Kong (Deputy chair), Christine Bacon (Member), Johan Friberg (Member), Johan Lindström (Member), Johanna Stadmark (Member), Hanna Ekström (Deputy member), Maria Hansson (Member), Shubham Singh (Member), Nils Droste (Member), Pål Axel Olsson (Member), Stefan Olin (Member) & Emma Enström (Member)
2022 Jan 1 → 2023 Dec 31Activity: Consultancy, expert advice and memberships › Member of board/committee/council etc