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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