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20162025
most citedEigenvector spatial filtering for large data sets: fixed and random effects approaches

63 citations · 79 across the 8 of their papers we have counts for

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stat.AP2020★ 6 cited

Balancing spatial and non-spatial variation in varying coefficient modeling: a remedy for spurious correlation

Daisuke Murakami, Daniel A. Griffith

This study discusses the importance of balancing spatial and non-spatial variation in spatial regression modeling. Unlike spatially varying coefficients (SVC) modeling, which is po…