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| 지역 공간 더빈 모형× | 공간 더빈 모형(SDM)× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2002–2009 | 2009 |
| 창시자≠ | LeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR framework | LeSage & Pace |
| 유형≠ | Spatially varying regression model | Spatial regression model |
| 원전≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| 별칭≠ | local SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin model | SDM, spatial mixed model, uzamsal durbin modeli |
| 관련 | 5 | 5 |
| 요약≠ | The Local Spatial Durbin Model (Local SDM) extends the global Spatial Durbin Model by allowing regression coefficients to vary across geographic space. It combines the SDM's ability to capture both spatial lag of the dependent variable and spatial lags of covariates with a geographically weighted estimation framework, producing location-specific direct and indirect spillover effects. | The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
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