Spatial Autocorrelation

By Paul L. Delamater. Encyclopedia of Database Systems, 2020

1,424 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6efe169d2586e19234c45275bdf8c2c244b3bca8

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Citations in the corpus

Where is the Economics in Spatial Econometrics (2012, background): “Y = Xb+ " (26) " N(0; (2)) and we (wrongly) t the SAR model Y = WY +Xb + ": Will it be the case that the presence of WY biases the b estimates? This is a common criticism of spatial econometrics, that the signicance”
Instrumental Variable Quantile Estimation of Spatial Autoregressive Models (2007, background): “Among the various models involving spatial dependence, the most popular one is perhaps the spatial autoregressive (SAR) model of Cliff and Ord (1973, 1981), in which the outcome of a spatial unit is allowed to depend linearly on the outcomes of its neighboring units and the values of covariates,…”
Panel data models with spatially correlated error components (2007, methodology): “A widely used approach to model spatial dependence is that of Cliff and Ord (1973, 1981).”
Estimating space‐use and habitat preference from wildlife telemetry data (2008, methodology): “Residual autocorrelation can be detected by Moran’s I, Geary’s C (Cliff and Ord 1973), or by constructing spatial variograms of the model residuals (Isaaks and Srivastava 1990).”
Comparing implementations of global and local indicators of spatial association (2018, background): “Other authors have built on this work, notably Cliff and Ord (1969, 1973, 1981), and it is this development of a more general test statistic that is covered by Ripley (1981), Goodchild (1986) and Cressie (1993).”
Estimation and inference for spatial models with heterogeneous coefficients: An application to US house prices (2020, unknown): “Consider now C3,N and note that since Σxx = E (x◦tx ′ ◦t) and Ξ ′ 0Ξ0 are positive semi-definite matrices, then using result (9) on p. 44 of Lütkepohl (1996), tr ( ΣxxΞ ′ 0Ξ0 ) ≥ N [det (Σxx)] [ det ( Ξ0Ξ0 )]1/N ≥ 0, and hence C3,N ≥ 0.”
A Spatio-Temporal Model of House Prices in the US (2010, unknown): “…the strength of spatial dependence in the idiosyncratic components, for each m we estimated the following standard spatial lag model in ~"it (Cli¤ and Ord, 1973) ~"it = NX j=1 wij~"jt + it, (5.6) where is a spatial autoregressive parameter, and wij is the generic element of the N N spatial…”
On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors (2013, background): “In terms of tuples (;; ̄) these matrices are described follows: Matrix 1 (486; 5; 15), which has approximately 25% units in the north-east; Matrix 2 (974; 7; 21), which has approximately 25% units in the north-east; Matrix 3 (485; 14; 20), which has approximately 75% units in the north-east; and ”
Drivers of changes in agricultural intensity in Europe (2016, background): “We found low levels of spatial autocorrelation within model residuals (Griffith, 2009) for yields (I = 0.14–0.28) and for nitrogen application rates (I = 0.19–0.39), except for permanent crop yields (I = 0.70).”
Identification of Employment Concentration Areas (2014, unknown): “The second step of the method uses parts of the theory of the (local) Moran’s I (Cliff & Ord, 1973) to minimize the effect of subdividing the region into predeﬁned areas.”
Environmental Metal Pollution Considered as Noise: Effects on the Spatial Distribution of Benthic Foraminifera in two coastal Marine Areas of Sicily (Southern Italy) (2008, methodology): “, 2006) and mixed regressive-spatial autoregressive models (Overmars et al., 2003); (vi) 243 probability transitions models with random dispersal (Zhang et al.”
A general method for third-order bias and variance corrections on a nonlinear estimator (2015, unknown): “1For theory and applications, see Cliff and Ord (1973, 1981), Ord (1975), Anselin (1988, 2001), Case (1991), Case, et al. (1993), Besley and Case (1995), Brueckner (1998), Anselin and Bera (1998), Kelejian and Prucha (1998, 1999, 2001), Bell and Bockstael (2000), Bertrand, et al. (2000), Topa…”
Assessing habitat quality for conservation using an integrated occurrence-mortality model (2009, methodology): “For each of the 1837 alternative models, we calculated the spatial correlation with the original BM model suitability scores (Goodchild 1986).”
The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom (2018, background): “This type of examination is generally referred to as spatial autocorrelation analysis (Cliff and Ord, 1973; Getis, 2009) and is often categorised by those methods which focus on global or local effects.”
Uber, Public Transit, and Urban Transportation Equity: A Case Study in New York City (2019, background): “The threshold value of Moran’s I has been regarded as either zero (Chen 2013) or 1/(n 1) (Odland 1988).”