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JOANNA MILLS FLEMMING

Photo Credit: Scott Flemming. My research interests centre on the development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. Photo Credit: Laurie Baker (MSc Student). The Environmental Statistics Program at Dalhousie University provides a tremendous opportunity for students to make meaningful contributions to important problems in the environmental sciences.

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Photo Credit: Scott Flemming. My research interests centre on the development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. Photo Credit: Laurie Baker (MSc Student). The Environmental Statistics Program at Dalhousie University provides a tremendous opportunity for students to make meaningful contributions to important problems in the environmental sciences.
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JOANNA MILLS FLEMMING | joannamillsflemming.com Reviews

https://joannamillsflemming.com

Photo Credit: Scott Flemming. My research interests centre on the development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. Photo Credit: Laurie Baker (MSc Student). The Environmental Statistics Program at Dalhousie University provides a tremendous opportunity for students to make meaningful contributions to important problems in the environmental sciences.

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Teaching — JOANNA MILLS FLEMMING

http://www.joannamillsflemming.com/teaching

Have many potential career paths. During the 2015-2016 academic year I will be teaching the following. Statistical Methods for Data Analysis and Inference. Mdash; Kim Whoriskey (current MSc student). Mdash; Laura Wile (former graduate student). Joanna took the time to ensure all students were keeping up and thoroughly explained concepts. Her notes were well organized and she was always available to help with assignment questions. ”. Mdash; STAT 2080 student, Fall 2010. Mdash; Amanda Halliday (former MSc ...

2

Recent Publications — JOANNA MILLS FLEMMING

http://www.joannamillsflemming.com/publications

Christoffer M Albertsen, Kim Whoriskey, David Yurkowski, Anders Neilsen and Joanna Mills Flemming (2015). Fast fitting of non-Gaussian state-space models to animal movement data via Template Model Builder,. Laurie Baker, Joanna Elizabeth Mills Flemming, Ian D Jonsen, Damian C Lidgard, Sara J Iverson, W Don Bowen (2015). A Novel Approach to Quantifying the Spatiotemporal Behavior of Instrumented Grey Seals Used to Sample the Environment,. Canadian Journal of Statistics. Eduardo G Martins, Lee F G Gutowsky...

3

News — JOANNA MILLS FLEMMING

http://www.joannamillsflemming.com/blog

June 23, 2015. Visualizing and Analysing Telemetry Data with the help of TMB. June 23, 2015. Our OTN Workshop on 'Visualizing and Analysing Telemetry Data in R' was a great success! A huge thank you to all participants who attended June 11-12, 2015. June 23, 2015. June 23, 2015. I'm a co-author on a paper that just appeared in Science! June 23, 2015. Aquatic animal telemetry: A panoramic window into the underwater world. Nigel E. Hussey. Steven T. Kessel. Steven J. Cooke. Paul D. Cowley. Aaron T. Fisk.

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About — JOANNA MILLS FLEMMING

http://www.joannamillsflemming.com/about

Associate Professor in the Department of Mathematics and Statistics. Canadian Journal of Statistics. Leader - Modelling and Visualization of Complex Marine Observations (cross-cutting activity),. Regional Representative - Board of Directors of the. Statistical Society of Canada. Member - International Scientific Advisory Committee -. Member - Data Management Committee -. Member - Ransom Myers Legacy Committee -. Canadian Statistical Sciences Institute. Department of Mathematics and Statistics.

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Photo Credit: Scott Flemming. My research interests centre on the development of statistical methodology for data exhibiting spatial and/or temporal dependencies with a particular interest in what is important for marine ecology, and more broadly, environmental science. Photo Credit: Laurie Baker (MSc Student). The Environmental Statistics Program at Dalhousie University provides a tremendous opportunity for students to make meaningful contributions to important problems in the environmental sciences.

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