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A collection of all the examples and presentation files given by Christoffer Moesgaard Albertsen (cmoe@aqua.dtu.dk) at OTN's TMB Workshop in Halifax NS on July 2830th 2014.
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A collection of all the examples and presentation files given by Christoffer Moesgaard Albertsen (cmoe@aqua.dtu.dk) at OTN's TMB Workshop in Halifax NS on July 2830th 2014.
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Tools for using TMB to fit models to ecological data, with a focus on fitting movement models on marine animals. Tools will range from general functions to look at parameter estimates (likelihood profile) to dataspecific statespace models.
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Tools for using TMB to fit models to ecological data, with a focus on fitting movement models on marine animals. Tools will range from general functions to look at parameter estimates (likelihood profile) to dataspecific statespace models.
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A bundle of tools and examples for working with slocum glider data
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A collection of all the examples and presentation files given by Christoffer Moesgaard Albertsen (cmoe@aqua.dtu.dk) at OTN's TMB Workshop in Halifax NS on July 2830th 2014.
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Some demo scripts showing how to access data in an ERDDAP instance.
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Information for TMB lunch and learn organise for the ICFT conference in July 2015
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Code associated with the manuscript: AugerMethe, et al. Statespace models' dirty little secrets: even simple linear Gaussian models can have parameter and state estimation problems.
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Information for the OTN workshop in June 2015. This workshop will focuss on demonstrating how to visualise and analyse OTN data in R. It will include tutorials on how to use basic GIS tools in R and a section on advance methods with TMB.
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Parser and database loader for Imagenex 853 binary data files
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Lab for Fall 2017's BIOL 4323 : getting started accessing and analyzing acoustic telemetry data in R using JuPyTeR notebooks for reproducability.
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resonATe, OTN's acoustic data analysis library for Python, and glatos, an R package mantained by the Hammond Bay lab on the Great Lakes, are two options for simplifying the cleaning and visualization of acoustic telemetry datasets.
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A few examples of how to use R packages to pull environmental data and match it to your geospatial data
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