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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92340


    Title: Estimating Abundance from Presence-Absence Maps Using Kernel Density Estimation
    Authors: Chang, Ya-Mei;張雅梅
    Contributors: 淡江大學統計學系
    Keywords: presence-absence map;spatial statistics;Poisson process;kernel density estimation
    Date: 2013-06
    Issue Date: 2013-10-01 17:10:41 (UTC+8)
    Abstract: 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.
    Relation: 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
    Appears in Collections:[統計學系暨研究所] 會議論文

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