Work with Data from High-Resolution Biologging Tags
Pitch and roll from acceleration
Calculates the absorption coefficient for sound in seawater
Calculate total acceleration
Save an item to a NetCDF or add one tag sensor or metadata variable to...
Implement a calibration on tag sensor data
Compute autocorrelation function
Compute mean of sample blocks
Compute RMS of sample blocks
Generate the cardinal axes of an animal
Buffers a signal vector into matrix
Compute field intensity of tag acceleration and magnetometer data.
Add colored line segments to a plot
Plot coloured line(s) in 3 dimensions with plot_ly
Complementary filtering of a signal.
Reduce the time span of a dataset
Compute the row-wise vector norm
Reduce the time span of data
Interactive data cropping tool.
Read tag metadata from csv
Reduce the sampling rate
Decimate sampling rate recursively.
Calculate the mean absorption in salt water
Estimate the vertical velocity
Convert depth to pressure
Detect peaks in signal vector data
Compute summary statistics for dives or flights
Draw time axis on plott plot.
Estimate the dominant stroke frequency
Make a rotation (or direction cosine) matrix
Extract multiple sub-samples of data
Extract a sub-sample of data
Find time cues for dives
Delay-free filtering
Integrate track with reference positions
Plot an image with an irregular grid.
Estimate the offset in each axis
Correct a depth or altitude profile
Find matching researcher in a list of known tag researchers
Find matching species in a list of marine mammals
Compute the envelope of X using Hilbert transform.Compute the envelope...
Return the Hilbert transform of a signal
Simple horizontal dead-reckoned track
Convert latitude-longitude track points into a local level frame
Estimate the inclination angle
Remove NAs from sensor data and return indices of (rows of) filled val...
Interpolate regularly sampled data to increase its sampling rate and m...
Identify invariant axis in triaxial movement measurements.
Convert between dates and Julian day numbers.
Estimate the forward speed
Load a tag dataset from a netCDF file.
Calculate Mahalanobis distance
Heading from accelerometer and magnetometer data
Make an info structure with tag metadata
Plot a spectrogram with default settings
Computes the nth-order median filter
Merge the fields of two lists
Edits a html file from given csv.
Compute MSA
Compute the norm-jerk
Compute ODBA
Plot tag data time series
Helper function for plott
Plot tag data time series
Predict the tag position on a diving animal from depth and acceleratio...
Predict the tag position on a diving animal from depth and acceleratio...
Estimate simple dead-reckoned track
Read a CSV file with sensor data from a CATS tag
Read a CATS data file and convert to .nc
Rotate data.
Rotate triaxial vector measurements
Carry out a rotation randomization test.
Decompose a rotation (or direction cosine) matrix
Estimate scale factors and offsets
Save a tag dataset to a netCDF file.
Generate a sensor structure from a sensor data vector or matrix.
Low pass filter a time series
Sound speed estimation
Compute the spectrum level of a signal x.
Estimate the forward speed of a diving animal
Deduce the calibration constants
Tag-frame to animal-frame conversion
Measure tortuosity index
Reconstruct a track from pitch, heading and depth data, given a starti...
Undo calibrations steps
Find zero-crossings in a vector
High-resolution movement-sensor tags typically include accelerometers to measure body posture and sudden movements or changes in speed, magnetometers to measure direction of travel, and pressure sensors to measure dive depth in aquatic or marine animals. The sensors in these tags usually sample many times per second. Some tags include sensors for speed, turning rate (gyroscopes), and sound. This package provides software tools to facilitate calibration, processing, and analysis of such data. Tools are provided for: data import/export; calibration (from raw data to calibrated data in scientific units); visualization (for example, multi-panel time-series plots); data processing (such as event detection, calculation of derived metrics like jerk and dynamic acceleration, dive detection, and dive parameter calculation); and statistical analysis (for example, track reconstruction, a rotation test, and Mahalanobis distance analysis).
Useful links