A major advancement in the use of radio telemetry has been the development of automated radio tracking systems (ARTS) which allow animal movements to be tracked continuously. A new ARTS approach is the use of a network of simple radio receivers (nodes) that collect radio signal strength (RSS) values from animal-borne radio transmitters. However, the use of RSS-based localization methods in wildlife tracking research is new and analytical approaches critical for determining high quality location data have lagged behind technological developments. This data release contains data used to test the application of analytical filters (signal strength, distance among nodes) to data from real and simulated node networks that differ in the density and configuration of nodes. These data were used to evaluate how different filters and network configurations (density and regularity of node spacing) may influence the accuracy of RSS-based localization estimates.
|Title||Guam automated radio telemetry network test data 2021|
|Authors||Kristina L Paxton, Kayla Baker, Zia Cryster, Ray M Guinto, Kevin W Brinck, Haldre S Rodgers, Eben H Paxton|
|Product Type||Data Release|
|Record Source||USGS Digital Object Identifier Catalog|
|USGS Organization||Pacific Island Ecosystems Research Center|
Eben H Paxton
Eben H Paxton