Urban mapping in Dar es Salaam using AJIVE
(2025)
Journal Article
Carrington, R. J., Dryden, I. L., Ellis, M., Goulding, J. O., Preston, S. P., & Sirl, D. J. (in press). Urban mapping in Dar es Salaam using AJIVE. Journal of the Royal Statistical Society: Series C,
Outputs (34)
Application of surface motion remote sensing to quantify the condition and trajectory of change of c.680,000 ha of peatland (2025)
Report
Large, D. J., Bradley, A. V., Mitchell, E., Fallaize, C., Dryden, I., Andersen, R., & Marshall, C. (2025). Application of surface motion remote sensing to quantify the condition and trajectory of change of c.680,000 ha of peatland. NatureScotThe purpose of this report is to demonstrate and evaluate the use of peatland surface motion, as measured by interferometric synthetic aperture radar (InSAR) over eight consecutive years, and to quantify and report peatland condition and trajectory o... Read More about Application of surface motion remote sensing to quantify the condition and trajectory of change of c.680,000 ha of peatland.
Analysis of an InSAR “bog breathing” based classification of peatland condition relative to field observations in Cairnsmore of Fleet National Nature Reserve (2025)
Report
Bradley, A. V., Mitchell, E., Dryden, I., Fallaize, C., Tariqul Islam, M., Large, D. J., Andersen, R., & Marshall, C. (2025). Analysis of an InSAR “bog breathing” based classification of peatland condition relative to field observations in Cairnsmore of Fleet National Nature Reserve. NatureScotThe purpose of this research is to:
1. Develop a field survey method that can be used to test the validity of maps of peatland condition that were created using satellite radar measures of peatland surface motion.
2. Test and refine a pre-exist... Read More about Analysis of an InSAR “bog breathing” based classification of peatland condition relative to field observations in Cairnsmore of Fleet National Nature Reserve.
A summary of surface motion remote sensing methods for the monitoring of peatland (2025)
Report
Mitchell, E., Fallaize, C., Dryden, I., Bradley, A. V., Large, D. J., Andersen, . R., & Marshall, C. (2025). A summary of surface motion remote sensing methods for the monitoring of peatland. NatureScotThe purpose of this report is to present a suite of methods and products for landscape scale assessment of peatland condition that can contribute to the sustainable management and restoration of peatland habitats. The outputs will also allow for the... Read More about A summary of surface motion remote sensing methods for the monitoring of peatland.
Object oriented data analysis of surface motion time series in peatland landscapes (2024)
Journal Article
Mitchell, E. G., Dryden, I. L., Fallaize, C. J., Andersen, R., Bradley, A. V., Large, D. J., & Sowter, A. (2025). Object oriented data analysis of surface motion time series in peatland landscapes. Journal of the Royal Statistical Society: Series C, 74(2), 406-428. https://doi.org/10.1093/jrsssc/qlae060Peatlands account for 10% of UK land area, 80% of which are degraded to some degree, emitting carbon at a similar magnitude to oil refineries or landfill sites. A lack of tools for rapid and reliable assessment of peatland condition has limited monit... Read More about Object oriented data analysis of surface motion time series in peatland landscapes.
Manifold valued data analysis of samples of networks, with applications in corpus linguistics (2022)
Journal Article
Severn, K. E., Dryden, I. L., & Preston, S. P. (2022). Manifold valued data analysis of samples of networks, with applications in corpus linguistics. Annals of Applied Statistics, 16(1), 368-390. https://doi.org/10.1214/21-aoas1480Networks arise in many applications, such as in the analysis of text documents, social interactions and brain activity. We develop a general framework for extrinsic statistical analysis of samples of networks, motivated by networks representing text... Read More about Manifold valued data analysis of samples of networks, with applications in corpus linguistics.
The Bayesian Spatial Bradley–Terry model: Urban deprivation modelling in Tanzania (2022)
Journal Article
Seymour, R. G., Sirl, D., Preston, S. P., Dryden, I. L., Ellis, M. J., Perrat, B., & Goulding, J. (2022). The Bayesian Spatial Bradley–Terry model: Urban deprivation modelling in Tanzania. Journal of the Royal Statistical Society: Series C, 71(2), 288-308. https://doi.org/10.1111/rssc.12532Identifying the most deprived regions of any country or city is key if policy makers are to design successful interventions. However, locating areas with the greatest need is often surprisingly challenging in developing countries. Due to the logistic... Read More about The Bayesian Spatial Bradley–Terry model: Urban deprivation modelling in Tanzania.
GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling (2021)
Journal Article
Louison, K. A., Louison, K. A., Dryden, I. L., & Laughton, C. A. (2021). GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling. Journal of Chemical Theory and Computation, 17(12), 7930-7937. https://doi.org/10.1021/acs.jctc.1c00735We describe a general approach to transforming molecular models between different levels of resolution, based on machine learning methods. The approach uses a matched set of models at both levels of resolution for training, but requires only the coor... Read More about GLIMPS: A Machine Learning Approach to Resolution Transformation for Multiscale Modeling.
Non‐parametric regression for networks (2021)
Journal Article
Severn, K. E., Dryden, I. L., & Preston, S. P. (2021). Non‐parametric regression for networks. Stat, 10(1), Article e373. https://doi.org/10.1002/sta4.373Network data are becoming increasingly available, and so there is a need to develop suitable methodology for statistical analysis. Networks can be represented as graph Laplacian matrices, which are a type of manifold-valued data. Our main objective i... Read More about Non‐parametric regression for networks.
Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip (2021)
Journal Article
Burroughs, L., Amer, M., Vassey, M., Koch, B., Figueredo, G., Mukonoweshuro, B., Mikulskis, P., Vasilevich, A., Vermeulen, S., Dryden, I. L., Winkler, D. A., Ghaemmaghami, A. M., Rose, F. R. A. J., de Boer, J., & Alexander, M. R. (2021). Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip. Biomaterials, 271, Article 120740. https://doi.org/10.1016/j.biomaterials.2021.120740© 2021 The Authors Human mesenchymal stem cells (hMSCs) are widely represented in regenerative medicine clinical strategies due to their compatibility with autologous implantation. Effective bone regeneration involves crosstalk between macrophages an... Read More about Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip.