Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

By Bo Huang, Bo Wu, M. Barry. International Journal of Geographical Information Science, 2010

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A Moran coefficient-based mixed effects approach to investigate spatially varying relationships (2016, methodology): “…interaction data modeling (Chun and Griffith, 623 2011), non-Gaussian data modeling (Fotheringham et al., 2002; Nakaya et al., 2005; 624 Griffith, 2011), multilevel modeling (e.g., Dong et al., 2016), spatiotemporal data 625 modeling (Fotheringham et al., 2015; Huang et al., 2010; Griffith, 2012).”
Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data (2014, background): “…distance with straight-line distances between ward centroids and within-ward distance as the mean distance between enumeration district centroids; Huang et al. (2010) introduced a spatio-temporal distance under an ellipsoidal coordinate system for their geographically and temporally weighted…”
A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore (2018, methodology): “Palabras clave: big data, GWR, Junta para el Desarrollo de la Vivienda (HDB), modelo hed onico de precios, Singapur.”