Local Spatial Autocorrelation Statistics: Distributional Issues and an Application

By J. Keith Ord, Arthur Getis. 2010

3,226 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Epidemiology

View Paper: https://www.semanticscholar.org/paper/ad4ff1a2464720540ce0438c676c77ff0a5439ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Epidemiology

Citations in the corpus

Spatial association between hotspots of baleen whales and demographic patterns of Antarctic krill Euphausia superba suggests size-dependent predation (2010, methodology): “Hotspot mapping and clustering analysis: To detect the locations (cells) of persistent clustering of whales and krill, we used the Getis-Ord G statistic (Getis & Ord 1992, Ord & Getis 1995, Swenson & Howard 2005).”
Convergence of per capita carbon dioxide emissions in urban China: A spatio-temporal perspective (2013, methodology): “To address this issue, we use a deeper disaggregated analysis based on the GetiseOrd statistic (Gi*) (Ord & Getis, 1995) to detect local spatial dependence: Gi*i;t ¼ 0 @Xn j¼1 wijxj Xt Xn j¼1 wij 1 A , S…”
Modelling transport and real-estate values interactions in urban systems (2012, neutral): “This index is useful for detecting clusters of autocorrelated residuals which may not become evident using only a global autocorrelation index (Ord and Getis, 1995).”
Fine-Grained Car Detection for Visual Census Estimation (2017, methodology): “To gain further insight we visualize statistically significant clusters of expensive and cheap cars using the Getis-Ord statistic, a more local measure of spatial autocorrelation (Getis and Ord 1992; Ord and Getis 1995).”
An area-based nonparametric spatial point pattern test: The test, its applications, and the future (2016, background): “Email: andresen@sfu.ca and Ord, 1992, 1996; Ord and Getis, 1995), and consequently, both forms of analysis should be considered if data are available.”
Economic growth and pollutant emissions in China: a spatial econometric analysis (2014, methodology): “We use Moran’s I, one of the most widely used spatial autocorrelation statistics (Anselin 1995; Getis 2007; Ord and Getis 1995).”
A spatial model incorporating dynamic, endogenous network interdependence: A political science application (2010, background): “15 The procedure finds a maximum distance, dc , beyond which spatial correlation is negligible and sets weights wij in row i equal to a function of the [53] statistic of local association,G∗i (dc), to 1, or to 0.”
Anthropogenic and natural disturbance lead to differing patterns of gene flow in the Rocky Mountain tailed frog, Ascaphus montanus. (2010, positive): “The Getis–Ord local statistic is a measure of whether high and low values of a variable are clustered (Getis and Ord, 1995).”
Empirical analysis of free-floating carsharing usage: The Munich and Berlin case (2015, methodology): “This toolbox performs the Getis-Ord Gi⁄-test (Getis and Ord, 1992; Ord and Getis, 1995) that computes a z-score for each cell by considering all cells within a (predefined) search radius.”
Spatial Statistics in ArcGIS (2010, neutral): “Zhang et al. (2008), Jacquez and Greiling (2003), Getis and Ord (1992), Ord and Getis (1995) , and Anselin (1995) provide additional applications for the tools in the Mapping Clusters toolset.”