Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Analiza žarišnih tačaka (Getis-Ord Gi*)× | Локални Моранов I (LISA)× | |
|---|---|---|
| Oblast | Prostorna analiza | Prostorna analiza |
| Porodica | Regression model | Regression model |
| Godina nastanka≠ | 1992 | 1995 |
| Tvorac≠ | Arthur Getis and J. Keith Ord | Luc Anselin |
| Tip≠ | Local spatial statistic | Local spatial autocorrelation statistic |
| Temeljni izvor≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ | Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Drugi nazivi | Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA | Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index |
| Srodne≠ | 5 | 6 |
| Sažetak≠ | Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation. | 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. |
| ScholarGateSkup podataka ↗ |
|
|