GPS location history data mining and anomalous detection: the scenario of bar-headed geese migration
Chapter 44 in Proceedings of the 2012 International Conference on Information Technology and Software Engineering, volume 211 in the Lecture Notes in Electrical Engineering series
Edited by: W. Lu, G. Cai, W. Liu, and W. Xing
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Abstract
It is important to discover common movement sequences and uncommon behaviors during the migration of wild birds. In this paper, we propose a new approach to analyze the GPS location history data of migratory birds. The stopover sites are first extracted from the location history data of birds, and their movement sequences are generated automatically. Then, a consistency calculation method is introduced for calculating the movement sequence consistency degrees among the birds. The common movement sequences and uncommon behaviors can be recognized on the basis of consistency. We conducted experiments on the data collected from bar-headed geese captured in the Qinghai Lake region. The experiment results indicate the correctness of our approach.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | GPS location history data mining and anomalous detection: the scenario of bar-headed geese migration |
| Volume | 211 |
| Year Published | 2013 |
| Language | English |
| Publisher | Springer |
| Publisher location | Amsterdam, Netherlands |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | Chapter 44: 8 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Other Government Series |
| Larger Work Title | Proceedings of the 2012 International Conference on Information Technology and Software Engineering |
| First page | 413 |
| Last page | 420 |
| Google Analytic Metrics | Metrics page |