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Research

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The Statistical Ecology at Dal (SEaDAL) Laboratory brings together researchers from various disciplines at Dalhousie University (DAL), to develop statistical methods for ecology.

 

Increasingly large amounts of ecological data are being collected each year, due to technological developments such as satellite imagery, telemetry tags, and acoustic sensors. These data contain detailed information about ecological processes that have traditionally been difficult to observe and study. Our primary research objective is to use statistical modelling to uncover the underlying biological &/or ecological mechanisms generating these datasets.

Myers Hutchings Fisheries Centre (MHFC)

SEaDAL is a research partner within the Myers Hutchings Fisheries Centre (MHFC) at Dalhousie University. Through the MHFC, SEaDAL researchers contribute statistical and quantitative expertise to collaborative research addressing fisheries science, marine ecosystems, and sustainable resource management.

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hmmTMB: Hidden Markov models with flexible covariate effects in R

Michelot, T. (2022). hmmTMB: Hidden Markov models with flexible covariate effects in R. arXiv preprint arXiv:2211.14139.

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