The T-DBSCAN Algorithm for Stopover Site Identification of Migration Birds Based on Satellite Positioning Data

Biology, Journal Year: 2025, Volume and Issue: 14(3), P. 277 - 277

Published: March 7, 2025

With the acceleration of social development and urbanization, birds’ natural habitats have been greatly disturbed threatened. Satellite tracking technology can collect much bird activity data, providing important data support for habitat protection research. However, satellite are usually characterized by discontinuity, extensive periods, inconsistent frequency, which challenges cluster analysis. Habitat research frequently employs clustering techniques, but conventional algorithms struggle to adjust these features, particularly when it comes time dimension changes irregular sampling. T-DBSCAN, an enhanced algorithm, is suggested accommodate this intricate need. T-DBSCAN improved based on traditional DBSCAN combines a quadtree structure optimize efficiency spatial partitioning introduces convex hull algorithmic strategy perform boundary identification processing, thus improving accuracy algorithm. made account efficiently uniformity sampling in dimension. Tests demonstrate that algorithm outperforms processing techniques. It also manage large amounts discontinuous making dependable tool studying habitats.

Language: Английский

Connectivity of wetland areas along the East Atlantic Flyway used as moulting and stopover sites by Pied Avocets (Recurvirostra avosetta) during autumn migration

Journal of Ornithology, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Language: Английский

Identifying non-breeding habitat conservation gaps of the critically threatened Spoon-billed Sandpiper (Calidris pygmaea) using species distribution model

Global Ecology and Conservation, Journal Year: 2025, Volume and Issue: unknown, P. e03640 - e03640

Published: May 1, 2025

Language: Английский