Geoadditive Models
将克里金法与可加模型融合为地理可加模型，用于分析生殖健康结局的地理变异，同时处理连续协变量的非线性效应，并利用线性混合模型框架简化拟合与诊断。
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.