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Heteroskedasticity and Autocorrelation of Errors
The regression model is a random model in the sense that an error term is included in the equation linking the dependent variable to the explanatory...
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Spatial Autocorrelation of Exports and R&D Expenditures in Portugal
This article analyzes spatial autocorrelations and the formation of clusters of exports, based on research and development (R&D) intensity in...
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Regional decline and structural changes in Northeast China: an exploratory space–time approach
Literature on New Economic Geography (NEG) highlights the importance of spatial concentration and spillover effects in economic growth or decline....
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Leslie Curry (1923–2009): Expounder of the Random Spatial Economy and Spatial Autocorrelation
Leslie Curry’s scholarly contributions had significant impacts on the early formation and evolution of the multidisciplinary field of regional...
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Getis’s spatial filtering legacy: spatial autocorrelation mixtures in geospatial agricultural datasets
The dual achievements of this paper are: establishing that the Getis spatial filtering technique can uncover latent PSA–NSA mixtures, and uncovering...
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Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach
Data-driven machine learning algorithms have initiated a paradigm shift in hedonic house price and rent modeling through their ability to capture...
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Spatial Autocorrelation and Moran Eigenvector Spatial Filtering
This chapter provides an introductory discussion of spatial autocorrelation (SA), that refers to correlation existing and observed in geospatial...
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Simultaneous consideration of spatial heterogeneity and spatial autocorrelation in European innovation: a spatial econometric approach based on the MGWR-SAR estimation
The paper focuses on a simultaneous consideration of both spatial heterogeneity and spatial autocorrelation in the context of European regional...
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Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation
Popular spatial autocorrelation (SA) indices employed in spatial econometrics include the Moran Coefficient (MC), the Geary Ratio, (GR) and the join...
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Spatial Dynamics and Space-Time Data Analysis
This chapter provides an overview of spatial dynamics in the field of regional science. After defining the context of spatial dynamics and the...
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Detecting space–time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities
The first case of COVID-19 in South America occurred in Brazil on February 25, 2020. By July 20, 2020, there were 2,118,646 confirmed cases and...
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Spatial Clustering and Autocorrelation of Health Events
Since the mid-nineteenth century, scientists have sought ways to quantify observed spatial patterns of disease incidence and prevalence in order to...
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Hedonic real estate price estimation with the spatiotemporal geostatistical model
This study argues that the spatiotemporal geostatistical model for real estate prices, which accounts for and incorporates spatial autocorrelation,...
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Are Disaster Impact Estimates Distorted by Errors in Popular Night-Time Lights Data?
Satellite-detected night lights data are widely used to evaluate economic impacts of disasters. Growing evidence from elsewhere in applied economics...
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Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000–2010
Spatial cancer data analyses frequently utilize regression techniques to investigate associations between cancer incidences and potential covariates....
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Inspired by Art
The research of Art Getis has had many positive direct effects on the fields of regional science and spatial statistics. There already have been, and...
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Provincial income convergence in Vietnam: spatio-temporal dynamics and conditioning factors
In this article, we use a three-step procedure that combines the log t convergence test, Explanatory Spatial Data Analysis, and ordered logit...
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Space–Time Autocorrelation
Autocorrelation latent in spatial and in temporal random variables interacts in space-time random variables. This interaction can be of two slightly...
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The distance decay effect and spatial reach of spillovers
This paper quantifies and graphically illustrates the distance decay effect and spatial reach of spillover effects derived from a spatial Durbin (SD)...
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Gender Differential of Educational Outcomes in India: How Does Space Matter?
India has achieved a decent rate of economic growth in past decades except the COVID pandemic period. However, such growth fails to ensure gender...