Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| LISA× | Modelo Durbin Espacial (SDM)× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1995 | 2009 |
| Autor original≠ | Luc Anselin | LeSage & Pace |
| Tipo≠ | Local spatial autocorrelation statistic | Spatial regression model |
| Fonte seminal≠ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Outros nomes≠ | local Moran's I, local spatial autocorrelation, LISA cluster analysis, LISA — Yerel Uzamsal Otokorelasyon (Local Moran's I) | SDM, spatial mixed model, uzamsal durbin modeli |
| Relacionados | 5 | 5 |
| Resumo≠ | LISA, introduced by Luc Anselin in 1995, is a local statistic that computes spatial autocorrelation separately for every observation rather than for the map as a whole. It pinpoints where high or low values cluster and where spatial outliers sit, decomposing the global Moran's I into a contribution from each location. | 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. |
| ScholarGateConjunto de dados ↗ |
|
|