Nonparametric estimation of the dependence of a spatial point process on spatial covariates
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...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
INT PRESS BOSTON, INC
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/44007 |
| _version_ | 1848756874771431424 |
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| author | Baddeley, Adrian Chang, Y. Song, Y. Turner, R. |
| author_facet | Baddeley, Adrian Chang, Y. Song, Y. Turner, R. |
| author_sort | Baddeley, Adrian |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:19:08Z |
| format | Journal Article |
| id | curtin-20.500.11937-44007 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:19:08Z |
| publishDate | 2012 |
| publisher | INT PRESS BOSTON, INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-440072017-09-13T15:58:25Z Nonparametric estimation of the dependence of a spatial point process on spatial covariates Baddeley, Adrian Chang, Y. Song, Y. Turner, R. 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/44007 10.4310/SII.2012.v5.n2.a7 INT PRESS BOSTON, INC restricted |
| spellingShingle | Baddeley, Adrian Chang, Y. Song, Y. Turner, R. Nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| title | Nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| title_full | Nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| title_fullStr | Nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| title_full_unstemmed | Nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| title_short | Nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| title_sort | nonparametric estimation of the dependence of a spatial point process on spatial covariates |
| url | http://hdl.handle.net/20.500.11937/44007 |