Slides Slide decks from presentations
2023
- Applying statistical thinking to palaeo data through generalized additive models
- XXI INQUA Congress 2023, Rome, 13-20th July
- 10.5281/zenodo.8186141 Slide deck Code
- Loss of lake ice cover in northern hemisphere lakes
- Circle U Climate Change & Water Seminar. Humboldt Universität, Berlin, Germany
- 10.5281/zenodo.8007293 Slide deck Code
- Quantifying trends in ecological data using GAMs
- Department of Ecoscience, Aarhus University, March 8th
- Slide deck Code
2022
- Detecting change in a dynamic world
- School of Earth, Environment and Ecosystem Sciences Seminar Series, The Open University, 1st November
- Slide deck Code
- Quantifying trends in biodiversity with generalized additive models
- Joint Ecological Society of America and Canadian Society of Ecology and Evolution Annual Meeting, Montreal, 14-19 August, 2022
- 10.5281/zenodo.7003948 Slide deck Code
- Detecting change in palaeoecological time series, old and new
- PaleoEcoGen seminar series, online, 24th March
- Slide deck Code Recording
- Estimating trends in messy time series using generalized additive models
- Statistics & Biostatistic Seminar Series, Department of Statistics & Actuarial Science, University of Waterloo, 10th March
- Slide deck Code
- Quantifying trends in biodiversity with generalized additive models
- National Centre for Statistical Ecology seminar series, 9th February
- 10.5281/zenodo.6033545 Slide deck Code
- Generalized Additive Models with R and mgcv
- Statistical Methods Seminar Series, Ecological Forecasting Initiative and Statistical Ecology Section of the Ecological Society of America, 3rd January
2021
- Estimating trends in messy time series – a penalized spline approach
- Econometrics and Business Statistics Seminar Series, Aarhus University, 17th November
- Large Space Time Data: fitting spatio-temporal data using GAMs
- Arctic Hub (Aarhus University, University of Gothenburg, University of Edinburgh, University of Nottingham), 29th October
- Going beyond the mean: using distributional models to estimate changing resilience
- Center for Macroecology, Evolution, and Climate, University of Copenhagen, 8th October
- Estimating ecological resilience from poorly behaved time series
- Aquatic Virtual Summit: Incorporating Data Science and Open Science Techniques in Aquatic Research, 23-24 July, 2020
2020
- Learning when, where, and by how much, things change
- New York Hack R, the New York Open Statistical Programming Meetup
- Estimating ecological resilience from poorly behaved time series
- Association for the Sciences of Limnology and Oceanography and Society for Freshwater Science, Joint Summer Meeting 2020. (Conference Cancelled due to Covid-19.)
- Estimating the time-varying correlation between time series using copula distributional models
- Virtual International Statistical Ecology Conference (vISEC) 2020
- Slide deck Code Recording
2019
- The life of a statistical ecologist
- Canadian Mathematical Society Summer Meeting, Regina, Canada
- Estimating continuous measures of ecological resilience from palaeoecological time series
- International Quaternary Association Congress 2019, Dublin, Ireland
- Palaeolimnologists must rethink their approach to data analysis
- PALS 2019, University of Waterloo, Waterloo, Canada
2018
- Wiggly Things and Generic Resilience Indicators in Ecological Time series
- Institute for Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, Colorado, USA
- Ecological resilience in messy time series
- Department of Biology, Memorial University, St. John’s, Newfoundland, Canada
- Species associations and long-term dynamics in phytoplankton communities
- Ecological Society of America Annual Meeting 2018, New Orleans, USA
- Using topic models to describe disturbance & quantify responses to environmental change
- International Statistical Ecology Conference 2018, St Andrews, Scotlan
- Estimating rates and magnitudes of temporal change: Using generalized additive models with stratigraphic records
- International Paleolimnology Symposium 2018, Stockholm, Sweden
2017
- Spatiotemporal variation in surface waters due to global environmental change
- Department of Biology, York University, Toronto, Canada
- Using topic models to describe disturbance and quantify responses to environmental change in palaeoecological time series
- Ecological Society of America Annual meeting, Portland, USA
- Modelling trends, change points, and related features in palaeoenvironmental time series using generalised additive models
- Department of Earth Sciences, University Adelaide, Australia
2016
- Estimating Temporal Change in Mean and Variance of Community Composition via Location Scale Additive Models
- cological Society of America’s Annual Meeting, Fort Lauderdale, US
- Estimating Temporal Change in Mean and Variance of Community Composition via Location Scale Additive Models
- International Statistical Ecology Conference, Seattle, US
2015
- Patterns of Ecological Response to Environmental Change as Observed in Palaeoecological data
- Ecological Society of America’s Annual Meeting, Baltimore, US
- Patterns of Ecological Response to Rapid Environmental Change
- Canadian Society for Ecology and Evolution Annual Meeting, Saskatoon, Canada
2011
- Evidence of Rapidly Warming Rivers in the UK from an Extensive Additive Modelling Study at the National Scale Using R
- Fall Meeting of the American Geophysical Union
2009
- Are remote fresh water ecosystems succumbing to the Nitrogen Cascade?
- Nitrogen Deposition, Critical Loads and Biodiversity’ conference, Edinburgh, UK, 16th - 18th November 2009
2007
- Identifying patterns of change in noisy water chemistry time series data
- ICMS Workshop “Workshop on smoothing based and Gaussian-process-based methods for non-parametric regression in environmental problems”, 26-29th March 2007
2005
- Does size really matter? Effect of training set size on model performance and species estimates
- Talk at seminar afternoon in honour of H.J.B. Birks
2004
- Freshwater ecosystems: past, present and future
- Environmental Statistics Study Group of the Royal Statistical Society