期刊論文
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/78142 ) |