Sergio Rey
Biographic Data
| ID | 4894919 |
|---|---|
| NAME | Sergio Rey |
| GIVEN NAMES | Sergio |
| FAMILY NAME | Rey |
| SIGNATURE | REY S |
| AFFILIATIONS | San Diego State University |
| ORCID | 0000-0001-5857-9762 |
| VERIFIED | Yes |
| TOTAL WORKS | 35 |
| TOTAL CITATIONS | 168 |
| AUTHOR COUNT | 35 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1991 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Assessing the Effects of Geocomputation Lessons on Secondary School Students’ Perceptions of Geography and Computer Science
Exploring Space‐Time Interactions in Fatal Opioid Overdoses
This study investigates fatal opioid overdoses in Riverside County, California, between January 2020 and March 2023, employing advanced spatial‐temporal analysis methods to uncover significant clusters and their underlying contexts. By integrating global and local Knox tests, the research identifies both broad trends and specific hotspots of fatal overdoses. The findings reveal substantial spatial disparities, with higher overdose rates in rural …
Delineating school attendance boundaries to improve diversity and community integrity
The delineation of school attendance zones (SAZs) is a critical aspect of educational policy, influencing student distribution, resource allocation, and educational equity. SAZs determine which students attend specific schools based on geographic boundaries, shaping the demographic composition of schools and the opportunities available to students. Designing SAZs is a complex and challenging task, as it requires balancing multiple, often conflict…
The emergence of fentanyl in a stimulant landscape
Our research calls for evidence-based education about fentanyl, expanded access to harm reduction services, including community drug checking and safer smoking supplies, and low-barrier drug treatment as part of broader efforts to promote community care
Measuring two decades of urban spatial structure
In this paper we examine the evolution of urban spatial structure in U.S. metropolitan areas over nearly two decades. Using annual block-level data from the Longitudinal Employment Household Dynamics database, we introduce a technique for identifying regional employment centers that both adheres to urban economic theory and pays homage to classic contributions in local spatial statistics. Centers are defined as local spatial statistical outliers …
Segregated by design? Street network topological structure and the measurement of urban segregation
Racial residential segregation is a longstanding topic of focus across the disciplines of urban social science. Classically, segregation indices are calculated based on areal groupings (e.g., counties or census tracts), with more recent research exploring ways that spatial relationships can enter the equation. Spatial segregation measures embody the notion that proximity to one’s neighbors is a better specification of residential segregation than…
Urban sprawl and racial inequality in intergenerational mobility
Persistent racial inequality in socioeconomic status within urban areas has been a significant concern in both the US and European countries. Differences across racial groups in intergenerational mobility (IM) have been identified as a key source of this persistence. However, efforts to understand racial inequality in IM have rarely considered the role of urban sprawl. This article argues that urban sprawl affects differences in IM between racial…
Spatial inequality and place mobility in Mexico
In this paper we examine the relationship between spatial inequality, place mobility, and spatial polarization in Mexico. We use data for 2457 Mexican municipios from 2000 to 2015. We apply classical and spatial Markov chains to measure spatial income dynamics and we employ a decomposition of spatial inequality to measure spatial polarization. In doing so, we ask the following questions: Has spatial inequality increased across Mexican municipios …
Big Code
Big data, the “new oil” of the modern data science era, has attracted much attention in the GIScience community. However, we have ignored the role of code in enabling the big data revolution in this modern gold rush. Instead, what attention code has received has focused on computational efficiency and scalability issues. In contrast, we have missed the opportunities that the more transformative aspects of code afford as ways to organize our scien…
American Community Survey (ACS) Data Uncertainty and the Analysis of Segregation Dynamics
American Community Survey (ACS) data have become the workhorse for the empirical analysis of segregation in the U.S.A. during the past decade. The increased frequency the ACS offers over the 10-year Census, which is the main reason for its popularity, comes with an increased level of uncertainty in the published estimates due to the reduced sampling ratio of ACS (1:40 households) relative to the Census (1:6 households). This paper introduces a ne…
The Importance of Null Hypotheses
A recent review noted important differences in the results of the local Moran's statistic depending on the inference method. These differences had significant practical implications. In closing, the authors speculated the differences may be due to local spatial heterogeneity. In this article, we propose that different null hypotheses, not heteroskedasticity, generate these differences. To test this, we examine the null hypotheses implicit in comm…
The PySAL Ecosystem
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction t…
A Probabilistic Approach to Address Data Uncertainty in Regionalization
Spatial data regularly suffer from error and uncertainty, ranging from poorly georeferenced coordinate pairs to sampling error associated with American Community Survey data. Geographic information systems can amplify and propagate error and uncertainty through the abstraction and representation of spatial data, as can the manipulation, processing, and analysis of spatial data using exploratory and confirmatory statistical techniques. The purpose…
Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010
In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades (1980–2010) in 294 metropolitan statistical areas, we use a statistical decomposition method to unpack the aggregate spatiotemporal income dynamic into its contributing components: stability, growth a…
Building Educational Capacity for Inclusive Geocomputation
To build educational capacity for the rapidly evolving science and profession of geocomputation, the American Association of Geographers piloted an Encoding Geography research-practice partnership (RPP) composed of geography and computer science educators and researchers. This commentary describes the process, known as Collective Impact, that was implemented to investigate the persistent problems of practice that have limited the participation of…
Neighborhood Effects and Neighborhood Dynamics
Geosilhouettes
Regionalization, under various guises and descriptions, is a longstanding and pervasive interest of urban studies. With an increasingly large number of studies on urban place detection in language, behavior, pricing, and demography, recent critiques of longstanding regional science perspectives on place detection have focused on the arbitrariness and non-geographical nature of measures of best fit. In this paper, we develop new explicitly geograp…
Sensitivity of sequence methods in the study of neighborhood change in the United States
A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains
Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analys…
Regional inequality dynamics, stochastic dominance, and spatial dependence
Temporal dynamics in local vehicle ownership for Great Britain
This article explores the stability of local vehicle ownership rates in Great Britain using the technique of spatial Markov chain analysis. Non-spatial Markov chain processes describe the transition of neighbourhoods through levels of ownership with no regard to their neighbourhood context. In reality however, how a neighbourhood transitions to different levels of ownership could be influenced by its neighbourhood context. A spatial Markov chain …
The centralization index
Space-Time Patterns of Rank Concordance
In the study of income inequality dynamics, the concept of exchange mobility plays a central role. Applications of classical rank correlation statistics have been used to assess the degree to which individual economies swap positions in the income distribution over time. These classic measures ignore the underlying geographical pattern of rank changes. Rey (2004) introduced a spatial concordance statistic as an extension of Kendall's rank correla…
The spatial dimension of economic growth and convergence
Σ‐convergence in the Presence of Spatial Effects
US Regional Income Convergence
REY S. J. and MONTOURI B. D. (1999) US regional income convergence: a spatial econometric perspective, Reg. Studies 33 , 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both …
Regional convergence, inequality, and space
The study of regional income convergence continues to attract enormous attention. Recent emphasis has been placed on the underlying spatial dimensions of regional growth processes both from theoretical and empirical perspectives, as well as from exploratory and confirmatory methodological stances. This paper provides a critical review of empirical approaches and methodological advances with an emphasis on the treatment of spatial effects, namely …
Σ‐convergence in the Presence of Spatial Effects
The spatial dimension of economic growth and convergence
The centralization index
Urban sprawl and racial inequality in intergenerational mobility
Persistent racial inequality in socioeconomic status within urban areas has been a significant concern in both the US and European countries. Differences across racial groups in intergenerational mobility (IM) have been identified as a key source of this persistence. However, efforts to understand racial inequality in IM have rarely considered the role of urban sprawl. This article argues that urban sprawl affects differences in IM between racial…
Integrated regional econometric+input-output modeling
Temporal dynamics in local vehicle ownership for Great Britain
This article explores the stability of local vehicle ownership rates in Great Britain using the technique of spatial Markov chain analysis. Non-spatial Markov chain processes describe the transition of neighbourhoods through levels of ownership with no regard to their neighbourhood context. In reality however, how a neighbourhood transitions to different levels of ownership could be influenced by its neighbourhood context. A spatial Markov chain …
Integrated regional econometric+input‐output modeling
American Community Survey (ACS) Data Uncertainty and the Analysis of Segregation Dynamics
American Community Survey (ACS) data have become the workhorse for the empirical analysis of segregation in the U.S.A. during the past decade. The increased frequency the ACS offers over the 10-year Census, which is the main reason for its popularity, comes with an increased level of uncertainty in the published estimates due to the reduced sampling ratio of ACS (1:40 households) relative to the Census (1:6 households). This paper introduces a ne…
Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010
In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades (1980–2010) in 294 metropolitan statistical areas, we use a statistical decomposition method to unpack the aggregate spatiotemporal income dynamic into its contributing components: stability, growth a…
Space-Time Patterns of Rank Concordance
In the study of income inequality dynamics, the concept of exchange mobility plays a central role. Applications of classical rank correlation statistics have been used to assess the degree to which individual economies swap positions in the income distribution over time. These classic measures ignore the underlying geographical pattern of rank changes. Rey (2004) introduced a spatial concordance statistic as an extension of Kendall's rank correla…
Integrating Regional Econometric and Input-Output Models
A number of integration strategies that embed input-output relations within dynamic econometric models of regional employment determination are examined. By viewing the alternative approaches in the literature as specific cases of restricted estimation a number of important methodological issues associated with model misspecification are identified and examined analytically. Additional insight as to the importance of these issues is provided by m…
Properties of Tests for Spatial Dependence in Linear Regression Models
Based on a large number of Monte Carlo simulation experiments on a regular lattice, we compare the properties of Moran's I and Lagrange multiplier tests for spatial dependence, that is, for both spatial error autocorrelation and for a spatially lagged dependent variable. We consider both bias and power of the tests for six sample sizes, ranging from twenty‐five to 225 observations, for different structures of the spatial weights matrix, for sever…
Integrating Regional Econometric and Input-Output Models
A number of integration strategies that embed input-output relations within dynamic econometric models of regional employment determination are examined. By viewing the alternative approaches in the literature as specific cases of restricted estimation a number of important methodological issues associated with model misspecification are identified and examined analytically. Additional insight as to the importance of these issues is provided by m…
US Regional Income Convergence
REY S. J. and MONTOURI B. D. (1999) US regional income convergence: a spatial econometric perspective, Reg. Studies 33 , 143-156. This study reconsiders the question of US regional economic income convergence from a spatial econometric perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the geographical dynamics of US regional income growth patterns over the 1929-94 period. Strong patterns of both …
Labor-Productivity Changes in Regional Econometric +Input−Output Models
In 1988 Moghadam and Ballard first introduced the interindustry demand variable (IDV) as an innovative approach to integrate regional econometric and input-output models. Since then, several extensions of the IDV have been suggested in the literature, including adjustments for labor-productivity differentials across sectors to generate an interindustry employment demand variable (IEDV). In this paper we revisit the IEDV variable, and offer extens…
Integrated regional econometric+input-output modeling
Integrated regional econometric+input‐output modeling
Spatial Empirics for Economic Growth and Convergence
This paper suggests some new empirical strategies for analyzing the evolution of regional income distributions over time and space. These approaches are based on extensions to the classical Markov transition matrices that allow for a more comprehensive analysis of the geographical dimensions of the transitional dynamics. This is achieved by integrating some recently developed local spatial statistics within a Markov framework. Insights to not onl…
Specification searches in spatial econometrics
Accounting for the Environmental “Bottom Line” along the U.S.-Mexico Border
This article explores the prospects for establishing an environmental accounting system along the U.S.-Mexico border. After reviewing the rationale for environmental accounting and developing an accounting framework, three studies from the San Diego-Tijuana region are presented. In the first study, we estimate the total proportion of government expenditures made to defend the environment against human-induced changes in San Diego. This study reve…
Regional convergence, inequality, and space
The study of regional income convergence continues to attract enormous attention. Recent emphasis has been placed on the underlying spatial dimensions of regional growth processes both from theoretical and empirical perspectives, as well as from exploratory and confirmatory methodological stances. This paper provides a critical review of empirical approaches and methodological advances with an emphasis on the treatment of spatial effects, namely …
The spatial dimension of economic growth and convergence
Σ‐convergence in the Presence of Spatial Effects
The centralization index
Space-Time Patterns of Rank Concordance
In the study of income inequality dynamics, the concept of exchange mobility plays a central role. Applications of classical rank correlation statistics have been used to assess the degree to which individual economies swap positions in the income distribution over time. These classic measures ignore the underlying geographical pattern of rank changes. Rey (2004) introduced a spatial concordance statistic as an extension of Kendall's rank correla…
Temporal dynamics in local vehicle ownership for Great Britain
This article explores the stability of local vehicle ownership rates in Great Britain using the technique of spatial Markov chain analysis. Non-spatial Markov chain processes describe the transition of neighbourhoods through levels of ownership with no regard to their neighbourhood context. In reality however, how a neighbourhood transitions to different levels of ownership could be influenced by its neighbourhood context. A spatial Markov chain …
Regional inequality dynamics, stochastic dominance, and spatial dependence
Sensitivity of sequence methods in the study of neighborhood change in the United States
A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains
Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analys…
Building Educational Capacity for Inclusive Geocomputation
To build educational capacity for the rapidly evolving science and profession of geocomputation, the American Association of Geographers piloted an Encoding Geography research-practice partnership (RPP) composed of geography and computer science educators and researchers. This commentary describes the process, known as Collective Impact, that was implemented to investigate the persistent problems of practice that have limited the participation of…
Neighborhood Effects and Neighborhood Dynamics
Geosilhouettes
Regionalization, under various guises and descriptions, is a longstanding and pervasive interest of urban studies. With an increasingly large number of studies on urban place detection in language, behavior, pricing, and demography, recent critiques of longstanding regional science perspectives on place detection have focused on the arbitrariness and non-geographical nature of measures of best fit. In this paper, we develop new explicitly geograp…
The Importance of Null Hypotheses
A recent review noted important differences in the results of the local Moran's statistic depending on the inference method. These differences had significant practical implications. In closing, the authors speculated the differences may be due to local spatial heterogeneity. In this article, we propose that different null hypotheses, not heteroskedasticity, generate these differences. To test this, we examine the null hypotheses implicit in comm…
The PySAL Ecosystem
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction t…
A Probabilistic Approach to Address Data Uncertainty in Regionalization
Spatial data regularly suffer from error and uncertainty, ranging from poorly georeferenced coordinate pairs to sampling error associated with American Community Survey data. Geographic information systems can amplify and propagate error and uncertainty through the abstraction and representation of spatial data, as can the manipulation, processing, and analysis of spatial data using exploratory and confirmatory statistical techniques. The purpose…
Changes in the economic status of neighbourhoods in US metropolitan areas from 1980 to 2010
In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic status, which ties together spatial income inequality at different moments in time. Using census data from three decades (1980–2010) in 294 metropolitan statistical areas, we use a statistical decomposition method to unpack the aggregate spatiotemporal income dynamic into its contributing components: stability, growth a…
Computer Science (22 works) · Mathematics (21 works) · Geography (18 works) · Economics (17 works) · Econometrics (16 works) · Regional Economics and Spatial Analysis (12 works) · Spatial and Panel Data Analysis (12 works) · Economic geography (10 works) · Statistics (10 works) · Sociology (9 works)