Balancing Spatial and Non‐Spatial Variation in Varying Coefficient Modeling: A Remedy for Spurious Correlation

Author:

Murakami Daisuke1ORCID,Griffith Daniel A.2ORCID

Affiliation:

1. Department of Statistical Data Science Institute of Statistical Mathematics Tachikawa Tokyo Japan

2. School of Economic, Political and Policy Science The University of Texas Richardson TX USA

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Reference74 articles.

1. Thirty Years of Spatial Econometrics;Anselin L.;Papers in Regional Science,2010

2. Space‐Time Modelling of Blue Ling for Fisheries Stock Management;Augustin N. H.;Environmetrics,2013

3. Hierarchical Spatially Varying Coefficient and Temporal Dynamic Process Models Using spTDyn;Bakar K. S.;Journal of Statistical Computation and Simulation,2016

4. Alleviating the Effect of Collinearity in Geographically Weighted Regression;Bárcena M. J.;Journal of Geographical Systems,2014

5. Bates D. M.(2010).lme4: Mixed‐Effects Modeling with R.http://lme4.r‐forge.r‐project.org/book/

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