Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis

Authors:
Mingjie Tang;Yuanchun Zhou;Peng Cui;Weihang Wang;Jinyan Li;Haiting Zhang;Yuansheng Hou;Baoping Yan
Affiliations:
Computer Network Information Center, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences,;Computer Network Information Center, Chinese Academy of Sciences,;Institute of Zoology, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences,;Computer Network Information Center, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences,;School of Computer Engineering, Nanyang Technological University,;Computer Network Information Center, Chinese Academy of Sciences, and Graduate University of Chinese Academy of Sciences,;Bureau of Qinghai Lake National Nature Reserve, Beijing 100190;Computer Network Information Center, Chinese Academy of Sciences,
Venue:
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Year:
2009

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Abstract

Knowledge about the wetland use of migratory bird species during the annual life circle is very interesting to biologists, as it is critically important for conservation site construction and avian influenza control. The raw data of the habitat areas and the migration routes can be determined by high-tech GPS satellite telemetry, that usually are large scale with high complexity. In this paper, we convert these biological problems into computational studies, and introduce efficient algorithms for the data analysis. Our key idea is the concept of hierarchical clustering for migration habitat localization, and the notion of association rules for the discovery of migration routes. One of our clustering results is the Spatial-Tree, an illusive map which depicts the home range of bar-headed geese. A related result to this observation is an association pattern that reveals a high possibility of bar-headed geese's potential migration routes. Both of them are of biological novelty and meaning.