2024

A backfitting maximum likelihood estimator for hierarchical and geographically weighted regression modelling, with a case study of house prices in Beijing

Yigong Hu, Richard Harris, Richard Timmerman, Binbin Lu

International Journal of Geographical Information Science: 1-34.

GWmodelS: a standalone software to train geographically weighted models

Binbin Lu, Yigong Hu, Dongyang Yang, Yong Liu, Guangyu Ou, Paul Harris, Chris Brunsdon, Lex Combe, Guanpeng Dong

Geo-spatial Information Science.

2023

Introducing a General Framework for Locally Weighted Spatial Modelling Based on Density Regression (Short Paper)

Yigong Hu, Binbin Lu, Richard Harris, Richard Timmerman

12th International Conference on Geographic Information Science: 1-7.

A Hierarchical and Geographically Weighted Regression Model and Its Backfitting Maximum Likelihood Estimator (Short Paper)

Yigong Hu, Richard Harris, Richard Timmerman, Binbin Lu

12th International Conference on Geographic Information Science: 1-6.

GWmodelS: A software for geographically weighted models

Binbin Lu, Yigong Hu, Dongyang Yang, Yong, Liu, Liuqi Liao, Zuoyao Yin, Tianyang Xia, Zheyi Dong, Paul Harris, Chris Brunsdon, Lex Comber, Guanpeng Dong

SoftwareX, 21: 1-7.

2022

High-performance solutions of geographically weighted regression in R

Binbin Lu, Yigong Hu, Daisuke Murakami, Chris Brunsdon, Alexis Comber, Martin Charlton, Paul Harris

Geo-spatial Information Science, 25 (4): 536-549.

Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression

Yigong Hu, Binbin Lu, Yong Ge, Guanpeng Dong

Environment and Planning B: Urban Analytics and City Science, 49 (6): 1715-1740.

2019