参考文献与网络资料

主要引用以 DOI/出版机构页面为准。原创模型条目另外引用项目源码、测试和用户提供的草稿。

• GWR1996 — Brunsdon, Fotheringham & Charlton (1996). Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity.
• GWRBook2002 — Fotheringham, Brunsdon & Charlton (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships.
• MGWR2017 — Fotheringham, Yang & Kang (2017). Multiscale Geographically Weighted Regression (MGWR).
• GTWR2010 — Huang, Wu & Barry (2010). Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices.
• STWR2020 — Que, Ma, Ma & Chen (2020). A spatiotemporal weighted regression model (STWR v1.0).
• RGWR2010 — Harris, Fotheringham & Juggins (2010). Robust Geographically Weighted Regression.
• LCR2007 — Wheeler (2007). Diagnostic Tools and a Remedial Method for Collinearity in GWR.
• GWPR2005 — Nakaya et al. (2005). Geographically weighted Poisson regression for disease association mapping.
• Mixed2004 — Mei et al. (2004). A Note on the Mixed Geographically Weighted Regression Model.
• GWLasso2009 — Wheeler (2009). The Geographically Weighted Lasso.
• ScaGWR2020 — Murakami et al. (2020). Scalable GWR: A Linear-Time Algorithm for Large-Scale GWR with Polynomial Kernels.
• Bootstrap2017 — Harris et al. (2017). Introducing bootstrap methods to investigate coefficient non-stationarity.
• GWSS2002 — Brunsdon, Fotheringham & Charlton (2002). Geographically weighted summary statistics.
• GWPCA2011 — Harris, Brunsdon & Charlton (2011). Geographically weighted principal components analysis.
• GWDA2007 — Brunsdon, Fotheringham & Charlton (2007). Geographically Weighted Discriminant Analysis.
• SGWR2024 — Lessani & Li (2024). SGWR: similarity and geographically weighted regression.
• SGWRGD2025 — Yu et al. (2025). Similarity and geographically weighted regression considering spatial scales of feature space.
• SGTWR2025 — Li et al. (2025). SGTWR Model with Spatial-Temporal Heterogeneity and Attribute Similarity.
• GWmodel2015 — Gollini et al. (2015). GWmodel: an R Package for Exploring Spatial Heterogeneity.
• RouteMap2022 — Comber et al. (2022). A route map for the informed application of GWR.
• GWANN2022 — Hagenauer & Helbich (2022). A geographically weighted artificial neural network.