Estimating Abundance from Presence-Absence Maps Using Kernel Density Estimation

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 會議論文 > Item 987654321/92340

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题名:	Estimating Abundance from Presence-Absence Maps Using Kernel Density Estimation
作者:	Chang, Ya-Mei;張雅梅
贡献者:	淡江大學統計學系
关键词:	presence-absence map;spatial statistics;Poisson process;kernel density estimation
日期:	2013-06
上传时间:	2013-10-01 17:10:41 (UTC+8)
摘要:	This research is intended to apply spatial statistical approaches to estimate species abundance from presence-absence maps. Several methods have been developed to solve this problem, but most of them do not take account of spatial dependence. A new semi-parametric method is developed based on kernel density estimation. It can describe the spatial variation of species distribution. The estimation performance of the proposed method is compared with previous methods through simulation. An application to tree data set in Barro Colorado Island is demonstrated.
關聯:	第二十二屆南區統計研討會暨2013年中華機率統計學會年會及學術研討會會議手冊
显示于类别:	[統計學系暨研究所] 會議論文

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