Modeling Network Autocorrelation in Space–Time Migration Flow Data: An Eigenvector Spatial Filtering Approach

By Yongwan Chun, Daniel A. Griffith. 2011

141 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/cb03e2255ffd7398e46b810f98a1735359c24c09

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Y. Yamagata
2. Daisuke Murakami
3. Takahiro Yoshida
4. Hajime Seya
5. Daniel A. Griffith
6. Stéphane Dray
7. Luc Anselin
8. P. Peres‐Neto

In Management Science and Operations Research

1. Y. Yamagata
2. Daisuke Murakami

Citations in the corpus

• The Gravity Model for International Trade: Specification and Estimation Issues (2015, unknown): “Another is eigenvector spatial filtering, originally developed for area-based data (Griffith 2003) and later extended to flow data (see Chun, 2008; Fischer & Griffith, 2008; Chun & Griffith, 2011).”
• A Moran coefficient-based mixed effects approach to investigate spatially varying relationships (2016, background): “, Murakami and Tsutsumi, 2012; 2015), interaction data modeling (Chun and Griffith, 2011), non-Gaussian data modeling (Fotheringham et al.”
• Accounting for Spatial Autocorrelation in Linear Regression Models Using Spatial Filtering with Eigenvectors (2013, unknown): “Griffith and Chun ( 2011 ) extended that work by including Poisson, linear mixed models, and generalized linear mixed models regression variants.”