Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Viashirio vya Mitaa vya Chama cha Wanaanga (LISA)× | Uchambuzi wa Madoa ya Moto ya Getis-Ord Gi* ya Kienyeji× | |
|---|---|---|
| Nyanja | Uchanganuzi wa Kimaeneo | Uchanganuzi wa Kimaeneo |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1995 | 1992–1995 |
| Mwanzilishi≠ | Luc Anselin | Arthur Getis and J. Keith Ord |
| Aina≠ | Local spatial statistic | Local spatial association statistic |
| Chanzo asilia≠ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| Majina mbadala | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | 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. | The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence. |
| ScholarGateSeti ya data ↗ |
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