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

ABSTRACT: With the acceleration of social development and urbanization, birds' natural habitats have been greatly disturbed and threatened. Satellite tracking technology can collect much bird activity data, providing important data support for habitat protection research. However, satellite data are usually characterized by discontinuity, extensive periods, and inconsistent frequency, which challenges cluster analysis. Habitat research frequently employs clustering techniques, but conventional clustering algorithms struggle to adjust to these data features, particularly when it comes to time dimension changes and irregular data sampling. T-DBSCAN, an enhanced clustering algorithm, is suggested to accommodate this intricate data need. T-DBSCAN is improved based on the traditional DBSCAN algorithm, wh

SUBMITTER: He X 

PROVIDER: S-EPMC11940076 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature