Nonparametric estimation of the dependence of a spatial point process on spatial covariates
學年 100
學期 2
出版（發表）日期 2012-06-01
作品名稱 Nonparametric estimation of the dependence of a spatial point process on spatial covariates
作品名稱（其他語言）
著者 Baddeley, Adrian; Chang, Ya-Mei; Song, Yong; Turner, Rolf
單位 淡江大學統計學系
出版者 Somerville: International Press
著錄名稱、卷期、頁數 Statistics and Its Interface 5(2), pp.221-236
摘要 In the statistical analysis of spatial point patterns, it is often important to investigate whether the point pattern depends on spatial covariates. This paper describes nonparametric (kernel and local likelihood) methods for estimating the effect of spatial covariates on the point process intensity. Variance estimates and confidence intervals are provided in the case of a Poisson point process. Techniques are demonstrated with simulated examples and with applications to exploration geology and forest ecology.
關鍵字 confidence intervals; density estimation; kernel smoothing; local likelihood; logistic regression; point process intensity; poisson point process; [geological] prospectivity mapping; spatial covariates; relative distributions; resource selection function; weighted distribution
語言 en_US
ISSN 1938-7997 1938-7989
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 紙本 電子版
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