A Moran coefficient-based mixed effects approach to investigate spatially varying relationships

@article{Murakami2016AMC,
  title={A Moran coefficient-based mixed effects approach to investigate spatially varying relationships},
  author={Daisuke Murakami and Takahiro Yoshida and Hajime Seya and Daniel A. Griffith and Yoshiki Yamagata},
  journal={arXiv: Methodology},
  year={2016}
}
This study develops a spatially varying coefficient model by extending the random effects eigenvector spatial filtering model. The developed model has the following properties: its coefficients are interpretable in terms of the Moran coefficient; each of its coefficients can have a different degree of spatial smoothness; and it yields a variant of a Bayesian spatially varying coefficient model. Also, parameter estimation of the model can be executed with a relatively small computationally… 
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