Geoadditive models
Article first published online: 8 JAN 2003
DOI: 10.1111/1467-9876.00385
Issue
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Journal of the Royal Statistical Society: Series C (Applied Statistics)
Volume 52, Issue 1, pages 1–18, January 2003
Additional Information
How to Cite
Kammann, E. E. and Wand, M. P. (2003), Geoadditive models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 52: 1–18. doi: 10.1111/1467-9876.00385
Publication History
- Issue published online: 8 JAN 2003
- Article first published online: 8 JAN 2003
- [Received August 2000. Final revision June 2002]
- Abstract
- Article
- References
- Cited By
Keywords:
- Additive models;
- Disease mapping;
- Geostatistics;
- Kriging;
- Mixed models;
- Nonparametric regression;
- Penalized splines;
- Restricted maximum likelihood
Summary. A study into geographical variability of reproductive health outcomes (e.g. birth weight) in Upper Cape Cod, Massachusetts, USA, benefits from geostatistical mapping or kriging. However, also observed are some continuous covariates (e.g. maternal age) that exhibit pronounced non-linear relationships with the response variable. To account for such effects properly we merge kriging with additive models to obtain what we call geoadditive models. The merging becomes effortless by expressing both as linear mixed models. The resulting mixed model representation for the geoadditive model allows for fitting and diagnosis using standard methodology and software.

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