GeoDa: An Introduction to Spatial Data Analysis

By Luc Anselin, I. Syabri, Youngihn Kho. 2006

3,082 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Epidemiology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d8f16b07147e2cbedd8227ea5a8ef2cd7f8ae413

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Citations in the corpus

Spatial shifts in grain production increases in China and implications for food security (2018, positive): “…GeoDA was used for calculating the Global Moran's I Index of grain output growth in all phases, checking when there’s spatial agglomeration trend in China’s grain yield growth of all stages and having quantitative expression of the spatial agglomeration trend strength (Anselin et al., 2006).”
Measuring the food environment using geographical information systems: a methodological review (2010, background): “have designed a GIS application that identifies hot spots by spatial regression((81)).”
Assessing the Economic Impact of Sports Facilities on Residential Property Values (2018, methodology): “The GeoDa software developed by Anselin, Syabri, and Kho (2006) was designed to implement exploratory spatial data analysis techniques in lattice data (points and polygons), and a spatial weights matrices can be constructed based on border contiguity, distance contiguity, and k-nearest neighbors.”
Thirty years of spatial econometrics (2010, methodology): “Several generalist textbooks are available, such as Haining (2003); Banerjee et al. (2004); Waller and Gotway (2004); Fortin and Dale (2005); Schabenberger and Gotway (2005); Pfeiffer et al. (2008); Lawson (2009), as well as a number of specialist texts dealing with point pattern analysis and geosta”
Spatializing the Social Networks of Gangs to Explore Patterns of Violence (2011, methodology): “The geographically based spatial weights matrix (Wg) is based on rook’s case first-order contiguity and was constructed using the GeoDa software (version 0.95i) for spatial analysis ( Anselin et al. 2006 ).”
The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona (2016, background): “The main advantage is that it also allows the computation of a bivariate spatial Moran’s I autocorrelation index (Anselin et al., 2006).”
Spatial Panel Econometrics (2008, background): “…received more attention in mainstream econometrics as well, both from a theoretical as well as from an applied perspective (see the recent reviews and extensive references in Anselin and Bera, 1998, Anselin, 2001b, Anselin, 2002, Florax and Van Der Vlist, 2003, and Anselin et al., 2004a).”
Does `Smart Growth' Matter to Public Finance? (2008, methodology): “…practice, all of the spatial variables, Wes and WX were calculated in GeoDa, a program designed for spatial analysis and computation (Anselin 2003; Anselin et al. 2006), then imported into EViews, an econometrics program, with the rest of the data, es and X, where the two-stage least squares…”
Spatial association between hotspots of baleen whales and demographic patterns of Antarctic krill Euphausia superba suggests size-dependent predation (2010, methodology): “…2 different spatially-explicit regression models to account for the effects of spatial autocorrelation and spatial error in whale and krill distributions (Anselin et al. 2006, Santora et al. 2009), and we calculated 2-dimensional correlograms to examine the correlation between krill and whales.”