Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data

By Binbin Lu, Martin Charlton, Paul Harris, A. Stewart Fotheringham. International Journal of Geographical Information Science, 2014

375 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/1ce1eaf3983315cb017b5669a5fa56ba93a3f60d

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In Economics and Econometrics

1. Kai Cao
2. Mi Diao
3. Bo Wu

Citations in the corpus

• A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore (2018, methodology): “Lu et al. (2014) systematically summarized GWR models with a non-ED metric, including road network–distance and time–distance metrics, and demonstrated that GWR with a non-ED metric can improve the fitness of regression models and provide additional insights into the spatial patterns of property…”