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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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| Publicado en: | PLoS One |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6182806/ https://ncbi.nlm.nih.gov/pubmed/30307975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0205063 |
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