Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Rom-tid romlig autokorrelasjon× | Lokal Moran's I (LISA)× | |
|---|---|---|
| Fagfelt | Romlig analyse | Romlig analyse |
| Familie | Regression model | Regression model |
| Opprinnelsesår≠ | 1981–1992 | 1995 |
| Opphavsperson≠ | Cliff & Ord; extended by Anselin and others | Luc Anselin |
| Type≠ | Spatial autocorrelation statistic | Local spatial autocorrelation statistic |
| Opprinnelig kilde≠ | Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134. DOI ↗ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Alias | STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index |
| Relaterte≠ | 5 | 6 |
| Sammendrag≠ | Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss. | 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. |
| ScholarGateDatasett ↗ |
|
|