DeRuiter et.al. (2017). Software Tools for Analysis of Data from High-Resolution Animal-Borne Tags, 6th International Bio-Logging Science Symposium, 25th-29th September 2017

DeReuiter et.al.(2017). Tag Tools Poster Bio-logging studies with high-resolution movement sensors offer opportunities to observe animal behavior in unprecedented detail, but analysis of the resulting data is often complex, and there is a need for freely available, easy-to-use, flexible, well-documented software tools to facilitate analysis and interpretation. We introduce a new open-source tool kit for processing data from ags with high-resolution movement sensors (such as pressure, accelerometer, magnetometer, gyroscope). The tool kit has Matlab, Octave, and R versions, and includes tools to read/write, calibrate, process, visualize, and carry out statistical analysis of data from multiple tag types. Read/write and calibration tools read in data files from multiple tag types, associate the raw tag data with appropriate metadata, and perform calibration and validation (for example, converting to an animal-centric frame of reference, and converting from raw measurements to standard scientific units of measure). Users can save calibrated data with metadata in a well-defined standard file format (netCDF). Data processing functions include computing derived metrics like jerk, overall dynamic body acceleration, and minimum specific acceleration, detecting events, or computing summary statistics for events such as dives or prey captures. Visualization functions acilitate plotting multiple exemplars of detected events, creating multi-panel plots of multivariate time- series, and exploring and annotating tag data interactively. Finally, statistical analysis functions include Mahalanobis-distance-based dimension reduction and change-point detection, three-dimensional track reconstruction, and a rotation test for changes in event rates. All tools, along with complete documentation, will be freely available online, we are developing a website, http://www.animaltags.org, to provide information about the tools, documentation, and links to download tools and sample data. The goal of the tool kit is to enable high-quality, reproducible, sophisticated analyses of tag data, while also facilitating comparison of results between studies, tag-types and computational software.

DeRuiter et.al. (2017). Software Tools for Analysis of Data from High-Resolution Animal-Borne Tags, 22nd Biennial Society for Marine Mammalogy Conference, 22–27 October 2017, Halifax, Nova Scotia, CA

DeReuiter et.al.(2017). Tag Tools Poster Bio-logging studies with high-resolution movement sensors offer opportunities to observe animal behavior in unprecedented detail, but analysis of the resulting data is often complex, and there is a need for freely available, easy-to-use, flexible, well-documented software tools to facilitate analysis and interpretation. We introduce a new open-source tool kit for processing data from ags with high-resolution movement sensors (such as pressure, accelerometer, magnetometer, gyroscope). The tool kit has Matlab, Octave, and R versions, and includes tools to read/write, calibrate, process, visualize, and carry out statistical analysis of data from multiple tag types. Read/write and calibration tools read in data files from multiple tag types, associate the raw tag data with appropriate metadata, and perform calibration and validation (for example, converting to an animal-centric frame of reference, and converting from raw measurements to standard scientific units of measure). Users can save calibrated data with metadata in a well-defined standard file format (netCDF). Data processing functions include computing derived metrics like jerk, overall dynamic body acceleration, and minimum specific acceleration, detecting events, or computing summary statistics for events such as dives or prey captures. Visualization functions acilitate plotting multiple exemplars of detected events, creating multi-panel plots of multivariate time- series, and exploring and annotating tag data interactively. Finally, statistical analysis functions include Mahalanobis-distance-based dimension reduction and change-point detection, three-dimensional track reconstruction, and a rotation test for changes in event rates. All tools, along with complete documentation, will be freely available online, we are developing a website, http://www.animaltags.org, to provide information about the tools, documentation, and links to download tools and sample data. The goal of the tool kit is to enable high-quality, reproducible, sophisticated analyses of tag data, while also facilitating comparison of results between studies, tag-types and computational software.