期刊
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
卷 8, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/ijgi8110490
关键词
home range; cost distance; active learning method; terrain; obstacles
资金
- Chinese National Nature Science Foundation [41971410]
- Key Project of the Tianjin Natural Science Foundation of China [17JCZDJC39700]
- Innovation Team Training Plan of the Tianjin Education Committee [TD13-5073]
- Hunan Natural Science Foundation of China [2018JJ2502]
Home range estimation is the basis of ecology and animal behavior research. Some popular estimators have been presented; however, they have not fully considered the impacts of terrain and obstacles. To address this defect, a novel estimator named the density-based fuzzy home range estimator (DFHRE) is proposed in this study, based on the active learning method (ALM). The Euclidean distance is replaced by the cost distance-induced geodesic distance transformation to account for the effects of terrain and obstacles. Three datasets are used to verify the proposed method, and comparisons with the kernel density-based estimator (KDE) and the local convex hulls (LoCoH) estimators and the cross validation test indicate that the proposed estimator outperforms the KDE and the LoCoH estimators.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据