Video Tutorials

If you display the subtitle while the video is playing, you can see a brief explanation. I recommend that you watch the videos while reading Ethographer user guide.

Data Summary - summarizing time series data

Various statistics on the time series data can be obtained using the graphical user interface. See Ethographer User Guide page 2. The dataset used in the video is SampleData_penguin.pxp.

Graph function - viewing time series data

Viewing time series data with graphical user interface. See Ethographer User Guide page 1. The dataset used in the video is SampleData_penguin.pxp.

Mask Analysis - analyzing time series data with Mask

Mask Analysis is more extensive function to analyze time series data than Data Summary. See Ethographer User Guide page 5-8. The dataset used in the video is SampleData_penguin.pxp.

Peak Tracer - identification of dominant cycle of periodic signals

The cycle and amplitude of periodic signals can be identified in the spectrogram. See Ethographer User Guide page 15-17. The dataset used in the video is SampleData_shag.pxp.

Clustering Spectra - unsupervised clustering of the spectra

The local wavelet spectra in the spectrogram can be classified into several groups by k-means clustering analysis. See Ethographer User Guide page 18-19. The dataset used in the video is SampleData_shag.pxp.

Changing Spectra resolution

Spectral resolution can be changed by changing the parameters. See Ethographer User Guide page 15, 34-35. The dataset used in the video is SampleData_shag.pxp.

Spatial Analysis - analyzing the position data

There are several functions to analyze time series position data:

viewing tracks,

transformation of coordinate into universal transverse mercator (UTM),

calculation of speed, direction, and turn angle,

calculating first-passage time.

See Ethographer User Guide page 24-27. The dataset used in the video is SampleData_track.pxp.