Spatial random slope multilevel modelling using multivariate conditional autoregressive models: a case study of subjective travel satisfaction in Beijing

This article, published in the Annals of the Association of American Geographers in November 2015, explores how to incorporate a spatial dependence effect into the standard multilevel modelling (MLM). The proposed method is particularly well suited to the analysis of geographically clustered survey data where individuals are nested in geographical areas. Drawing on multivariate conditional autoregressive models, we develop a

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