Kernel-based geographically and temporally weighted autoregressive model for house price estimation

Spatiotemporal nonstationarity and autocorrelation are two crucial points in modeling geographical data. Previous studies have demonstrated that geographically and temporally weighted autoregressive (GTWAR) model accounts for both spatiotemporal nonstationarity and autocorrelation simultaneously to...

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Detalles Bibliográficos
Autores principales: Shim, Jooyong, Hwang, Changha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182806/
https://www.ncbi.nlm.nih.gov/pubmed/30307975
http://dx.doi.org/10.1371/journal.pone.0205063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182806/
https://www.ncbi.nlm.nih.gov/pubmed/30307975
http://dx.doi.org/10.1371/journal.pone.0205063

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