手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| モランのI空間的自己相関検定× | 空間的ダービンモデル (SDM)× | |
|---|---|---|
| 分野 | 空間分析 | 空間分析 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 1950 | 2009 |
| 提唱者≠ | Patrick A. P. Moran | LeSage & Pace |
| 種類≠ | Global spatial autocorrelation statistic | Spatial regression model |
| 原典≠ | Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| 別名 | global Moran's I, spatial autocorrelation test, Moran's I Uzamsal Otokorelasyon Testi | SDM, spatial mixed model, uzamsal durbin modeli |
| 関連 | 5 | 5 |
| 概要≠ | Moran's I is a global statistic, introduced by Patrick Moran in 1950, that measures whether and how a continuous variable is spatially autocorrelated across mapped units. A positive value signals clustering of similar values, a negative value signals a dispersed (checkerboard) pattern, and it is most often used as a diagnostic before moving to spatial regression. | 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. |
| ScholarGateデータセット ↗ |
|
|