.png){kind=icon}
返回
A grid-based clustering algorithm for wild bird distribution
.png){kind=icon}
PRE
AI
DOI：10.1007/s11704-013-2223-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Advanced satellite tracking technologies provide biologists with long-term location sequence data to understand movement of wild birds then to find explicit correlation between dynamics of migratory birds and the spread of avian influenza. In this paper, we propose a hierarchical clustering algorithm based on a recursive grid partition and kernel density estimation (KDE) to hierarchically identify wild bird habitats with different densities. We hierarchically cluster the GPS data by taking into account the following observations: 1) the habitat variation on a variety of geospatial scales; 2) the spatial variation of the activity patterns of birds in different stages of the migration cycle. In addition, we measure the site fidelity of wild birds based on clustering. To assess effectiveness, we have evaluated our system using a large-scale GPS dataset collected from 59 birds over three years. As a result, our approach can identify the hierarchical habitats and distribution of wild birds more efficiently than several commonly used algorithms such as DBSCAN and DENCLUE.
Keyword:
hierarchical clustering
bird migration
kernel density estimation
grid partition
期刊
IF:
4.6
论文数:
1.6K
被引数:
2.8K
机构
引用论文
Interplay of Notch and FGF signaling restricts cell fate and MAPK activation in the Drosophila trachea.png)
Development
DevelopmentIF0
PREAI
分享收藏分享收藏
Psychological characteristics and biofeedback mitigation in preadolescents with eating disorders
PREAI
分享收藏Properties and dissemination of H5N1 viruses isolated during an influenza outbreak in migratory waterfowl in western ChinaJOURNAL OF VIROLOGY
OAAI
JOURNAL OF VIROLOGYIF3.8
OAAI分享收藏
查看更多内容