Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Local Moran's I (LISA)× | Indicadores Locales de Asociación Espacial (LISA)× | |
|---|---|---|
| Campo | Análisis espacial | Análisis espacial |
| Familia | Regression model | Regression model |
| Año de origen | 1995 | 1995 |
| Autor original | Luc Anselin | Luc Anselin |
| Tipo≠ | Local spatial autocorrelation statistic | Local spatial statistic |
| Fuente seminal≠ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Alias | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| Relacionados | 6 | 6 |
| Resumen≠ | Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map. | LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence. |
| ScholarGateConjunto de datos ↗ |
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