Table 1 Current tool functionality and data formats for export
From: An open Web-based system for the analysis and sharing of animal tracking data
Tool | Description | Exportable format |
|---|---|---|
Editing tools | ||
Polygon selection | Manual selection of locations for removal by drawing polygons. | .CSV, .KML, .SHP |
Date filter | Filter locations by date range. | .CSV, .KML, .SHP |
Location class filter | Locations with a lower location accuracy than the minimum specified will be deleted. | .CSV, .KML, .SHP |
Speed filter | Locations that imply the animal has exceeded the specified maximum speed will be deleted. | .CSV, .KML, .SHP |
Kalman filter | This filter applies a state-space model combined with a Kalman filter to the location data to predict the “most probable” track. | .CSV, .KML, .SHP |
Kalman filtered data (SST) | This filter applies a state-space model combined with a Kalman filter to the location and temperature sensor data predict the ‘most probable’ track. The tag-recorded SST is matched with external SST data collected by the National Oceanic and Atmospheric Administration. | .CSV, .KML, .SHP |
Analysis tools | ||
Movement metrics | Track distance, mean step length and mean step speed are extracted using the great circle distance algorithm. | - |
Minimum convex polygon | A home range measure which uses the smallest area convex set that contains the location data. | .KML, .SHP |
Kernel utilisation distribution | A home range measure which uses the utilisation distribution to estimate the probability that an animal will be found at a specific geographical location. | .KML, .SHP |
Kernel Brownian bridge | A home range measure which uses the utilisation distribution to estimate the probability that an animal will be found at a specific geographical location. Unlike the fixed kernel approach, the Kernel Brownian Bridge incorporates serial autocorrelation between fixes into the estimate. | .KML, .SHP |
Alpha hull | A generalisation of the convex hull, which uses Delaunay triangulation to objectively crop low use areas from a polygon surface. | .KML, .SHP |
Local convex hull | A home range measure which creates utilisation distributions based on the local nearest-neighbour convex hulls. These are formed by constructing convex hulls around each location in the animal’s trajectory then jointing these hulls together, iteratively, to form isopleths. | .KML, .SHP |
Heat map | This tool generates a grid over the study area and uses a coloured gradient to visually identify areas of high usage by the tagged animal. Can be applied to either points or connectivity lines between points. | .KML, .SHP |