Luc Anselin
Biographic Data
| ID | 205340 |
|---|---|
| NAME | Luc Anselin |
| GIVEN NAMES | Luc |
| FAMILY NAME | Anselin |
| SIGNATURE | ANSELIN L |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0003-1076-2220 |
| VERIFIED | Yes |
| TOTAL WORKS | 57 |
| TOTAL CITATIONS | 1914 |
| AUTHOR COUNT | 57 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 15 |
The Walkable Accessibility Score (WAS): A spatially granular open-source measure of walkability for the continental US from 1997 to 2019
This paper describes a straightforward method for calculating an open-source Walkable Accessibility Score (WAS) that measures walkability at the block group scale based on walking distance to business establishments, schools, and parks. Exploratory analysis of the WAS reveals high concentrations of walkable accessibility in the centres of the densest and/or largest cities. Our optimised specification ( decay = 0.008, upper = 800, k = 30) performs…
The Social Context of Spatial Choice: Activity Locations and Residential Segregation
Despite considerable focus on clustering as a dimension of segregation and the explosion of big location data, the extant literature has not explicitly examined residential racial segregation and the clustering of racially segregated space as an influence on mobility. Drawing on urban sociological theories, we test criteria contributing to individuals’ selection of key activity neighborhoods. Using a range of spatial data sources, we compare Whit…
The PySAL Ecosystem: Philosophy and Implementation
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…
GeoDa, From the Desktop to an Ecosystem for Exploring Spatial Data
Since its introduction more than 15 years ago, the GeoDa software for the exploration of spatial data has transitioned from a closed source Windows‐only solution to an open source and cross‐platform product that takes on the look and feel of the native operating system. This article reports on the evolution in the functionality and architecture of the software and pays particular attention to its new implementation as a library, libgeoda. This li…
Tracking sixty years of income diversity within neighborhoods: The case of Chicago, 1950-2010
Individual, interpersonal, and neighborhood measures associated with opioid use stigma: Evidence from a nationally representative survey
Despite growing awareness of opioid use disorder (OUD), fatal overdoses and downstream health conditions (e.g., hepatitis C and HIV) continue to rise in some populations. Various interrelated structural forces, together with social and economic determinants, contribute to this ongoing crisis; among these, access to medications for opioid use disorder (MOUD) and stigma towards people with OUD remain understudied. We combined data on methadone, bup…
City cents: Tracking the spatial imprint of urban public expenditures
ChicagO Multiethnic Prevention and Surveillance Study (Compass): Increased Response Rates Among African American Residents in Low Socioeconomic Status Neighborhoods
On Spatial and Platial Dependence: Examining Shrinkage in Spatially Dependent Multilevel Models
Multilevel models have been applied to study many geographical processes in epidemiology, economics, political science, sociology, urban analytics, and transportation. They are most often used to express how the effect of a treatment or intervention might vary by geographical group, a form of spatial process heterogeneity. In addition, these models provide a notion of “platial” dependence: observations that are within the same geographical place …
Spatial Data Science
Spatial data science is a subset of data science that takes into account the special characteristics of spatial data in analytical methods and software tools. Its emergence was stimulated by the advent of big data, much of which is georeferenced (and time stamped). This required a rethinking of traditional spatial analytical and geocomputation methods, algorithms, and software tools to store, retrieve, explore, analyze, visualize, and learn from …
Tobler’s Law in a Multivariate World
Tobler’s first law of geography is widely recognized as reflecting broad empirical realities in geography. Its key concepts of “near” and “related” are intuitive in a univariate setting. However, when moving to the joint consideration of spatial patterns among multiple variables, the combination of attribute similarity and geographical similarity that underlies the concept of spatial autocorrelation is much harder to deal with. This article uses …
Finite sample properties of Moran's I test for spatial autocorrelation in tobit models
Spatial fixed effects and spatial dependence in a single cross‐section
Spatial Heterogeneity in Cancer Control Planning and Cancer Screening Behavior
Each state is autonomous in its comprehensive cancer control (CCC) program, and considerable heterogeneity exists in the program plans. However, researchers often focus on the concept of nationally representative data and pool observations across states using regression analysis to come up with average effects when interpreting results. Due to considerable state autonomy and heterogeneity in various dimensions-including culture, politics, histori…
Where Do Planners Belong? Assessing the Relationship between Planning and Design in American Universities
This article assesses the performance of U.S. planning programs relative to their administrative location in design versus nondesign units. We use both archival data to compare program rankings between design and nondesign units and a survey of a random sample of faculty (108 at 61 accredited programs). The archival data show a higher publication performance of programs in nondesign units. The survey finds that faculty respondents from nondesign …
Geographic disparities in late-stage breast cancer diagnosis in California
Thirty years of spatial econometrics
Errors in variables and spatial effects in hedonic house price models of ambient air quality
Spatial Panel Econometrics
GeoDa: An Introduction to Spatial Data Analysis
This article presents an overview of GeoDaTM, a free software program intended to serve as a user‐friendly and graphical introduction to spatial analysis for non‐geographic information systems (GIS) specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of GeoDa is an interactive environment that combines …
Interpolation of Air Quality Measures in Hedonic House Price Models: Spatial Aspects
This paper investigates the sensitivity of hedonic models of house prices to the spatial interpolation of measures of air quality. We consider three aspects of this question: the interpolation technique used, the inclusion of air quality as a continuous vs discrete variable in the model, and the estimation method. Using a sample of 115,732 individual house sales for 1999 in the South Coast Air Quality Management District of Southern California, w…
Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns
Locating the Vanguard in Rising and Falling Homicide Rates Across U.S. Cities
This research examines trends in U.S. homicide rates at the city level during the so-called homicide epidemic in the latter decades of the 20th century. Using spline regression techniques to locate structural breaks in city-level time series, we model the true trends of homicide rates to identify those cities that exhibited a meaningful boom and bust cycle. We then use Tobit regressions for all cities at risk of experiencing a cycle to estimate u…
Spatial Externalities, Spatial Multipliers, And Spatial Econometrics
This article outlines a taxonomy of spatial econometric model specifications that incorporate spatial externalities in various ways. The point of departure is a reduced form in which local or global spillovers are expressed as spatial multipliers. From this, a range of familiar and less familiar specifications is derived for the structural form of a spatial regression.
Measuring the benefits of air quality improvement: A spatial hedonic approach
Local Indicators of Spatial Association—Lisa
The capabilities for visualization, rapid data retrieval, and manipulation in geographic information systems (GIS) have created the need for new techniques of exploratory data analysis that focus on the “spatial” aspects of the data. The identification of local patterns of spatial association is an important concern in this respect. In this paper, I outline a new general class of local indicators of spatial association (LISA) and show how they al…
Structural Covariates of U.S. County Homicide Rates: Incorporating Spatial Effects
Spatial analysis is statistically and substantively important for macrolevel criminological inquiry. Using county‐level data for the decennial years in the 1960 to 1990 time period, we reexamine the impact of conventional structural covariates on homicide rates and explicitly model spatial effects. Important findings are: (1) homicide is strongly clustered in space; (2) this clustering cannot be completely explained by common measures of the stru…
Assessing Spatial Equity: An Evaluation of Measures of Accessibility to Public Playgrounds
Geographical and political research on urban service delivery-who benefits and why-has proliferated during the past two decades. Overall, this literature is not characterized by a particular attention to the importance of method in drawing conclusions about spatial equity based on empirical studies. Specifically, there has been scant interest in the effect of geographic methodology on assessing the relationship between access and socioeconomic ch…
Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes
Local Geographic Spillovers between University Research and High Technology Innovations
Thirty years of spatial econometrics
The Geography of the Nazi Vote: Context, Confession, and Class in the Reichstag Election of 1930
Competing theories of why voters in Weimar Germany chose the NSDAP (Nazi party) have been only partially supported; the notion of a "catch-all" party, with voters in different classes and social groups, is gaining adherents. Previous research has treated the German electrorate as a national unit. Regional and local elements of the voting surface have been generally ignored, even though strong historical and material conditions generated important…
Do Spatial Effecfs Really Matter in Regression Analysis
Spatial Effects and Ecological Inference
This paper examines the role of spatial effects in ecological inference. Both formally and through simulation experiments, we consider the problems associated with ecological inference and cross-level inference methods in the presence of increasing degrees of spatial autocorrelation. Past assessments of spatial autocorrelation in aggregate data analysis focused on unidimensional, one-directional processes that are not representative of the full c…
A Framework for the Areal Interpolation of Socioeconomic Data
Spatial data are collected and represented as attributes of spatial objects embedded in a plane. Basis change is defined as the transfer of attributes from one set of objects to another. Methods of basis change for socioeconomic data are reviewed and are seen to differ in the assumptions made in each about underlying density surfaces. These methods are extended to more general cases, and an illustration is provided by using Californian data. The …
Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns
Bringing geography back to the study of international relations: Spatial dependence and regional context in Africa, 1966–1978
The study of international relations usually occurs in a geographic vacuum. Little attention is given to the spatial context, both local and regional, in which interstate relations take place. A methodology for situating interstate relations in context is proposed. It evaluates the separate effects of national attributes, spatial dependence or neighbor effect, and regional heterogeneity on relations among states. Using the example of African inte…
Spatial fixed effects and spatial dependence in a single cross‐section
Locating the Vanguard in Rising and Falling Homicide Rates Across U.S. Cities
This research examines trends in U.S. homicide rates at the city level during the so-called homicide epidemic in the latter decades of the 20th century. Using spline regression techniques to locate structural breaks in city-level time series, we model the true trends of homicide rates to identify those cities that exhibited a meaningful boom and bust cycle. We then use Tobit regressions for all cities at risk of experiencing a cycle to estimate u…
Geographic and sectoral characteristics of academic knowledge externalities
Geo-Economic Competition and Trade Bloc Formation: United States, German, and Japanese Exports, 1968-1992
In the post-cold war world, geo-economic competition is thought to be replacing geopolitical competition as the focus of great power relations. The cold war years corresponded to the period of U.S. hegemony in world trade and relations in the Western bloc. With the shrinking of the power gap between the United States and the other two great trading states, Japan and West Germany, as well as increased competition for trade shares, a division of th…
Spatial Processes, Models and Applications
Describing the various ways the degree of spatial autocorrelation in a set of variate values can be assessed and to which the pattern formed by the location of objects treatable as points can be examined
Where Do Planners Belong? Assessing the Relationship between Planning and Design in American Universities
This article assesses the performance of U.S. planning programs relative to their administrative location in design versus nondesign units. We use both archival data to compare program rankings between design and nondesign units and a survey of a random sample of faculty (108 at 61 accredited programs). The archival data show a higher publication performance of programs in nondesign units. The survey finds that faculty respondents from nondesign …
Geographic and sectoral characteristics of academic knowledge externalities
A Note on Small Sample Properties of Estimators in a First-Order Spatial Autoregressive Model
This note considers a Bayesian estimator and an ad hoc procedure for the parameters of a first-order spatial autoregressive model. The approaches are derived, and their small sample properties compared by means of a Monte Carlo simulation experiment
Specification tests on the structure of interaction in spatial econometric models
Spatial Heterogeneity in Cancer Control Planning and Cancer Screening Behavior
Each state is autonomous in its comprehensive cancer control (CCC) program, and considerable heterogeneity exists in the program plans. However, researchers often focus on the concept of nationally representative data and pool observations across states using regression analysis to come up with average effects when interpreting results. Due to considerable state autonomy and heterogeneity in various dimensions-including culture, politics, histori…
Geographic disparities in late-stage breast cancer diagnosis in California
City cents: Tracking the spatial imprint of urban public expenditures
On Spatial and Platial Dependence: Examining Shrinkage in Spatially Dependent Multilevel Models
Multilevel models have been applied to study many geographical processes in epidemiology, economics, political science, sociology, urban analytics, and transportation. They are most often used to express how the effect of a treatment or intervention might vary by geographical group, a form of spatial process heterogeneity. In addition, these models provide a notion of “platial” dependence: observations that are within the same geographical place …
A Note on Small Sample Properties of Estimators in a First-Order Spatial Autoregressive Model
This note considers a Bayesian estimator and an ad hoc procedure for the parameters of a first-order spatial autoregressive model. The approaches are derived, and their small sample properties compared by means of a Monte Carlo simulation experiment
Integration of Multiregional Models for Policy Analysis
An initial conceptual framework is presented for the integration of a number of multi-regional models, and a modular structure is outlined. This structure consists of a national econometric model; an integrated comparative cost, industrial complex, input-output, and programming module; a transportation module; a demographic module; a multiregion econometric module; and a factor demand-investment supply econometric module. Fruitful directions for …
A Simulation Framework For Modeling Dynamics In Policy Space
Spatial Processes, Models and Applications
Describing the various ways the degree of spatial autocorrelation in a set of variate values can be assessed and to which the pattern formed by the location of objects treatable as points can be examined
Specification tests on the structure of interaction in spatial econometric models
Specification Tests on the Structure of Interaction in Spatial Econometric Models
Spatial Econometrics: Methods and Models
Lagrange Multiplier Test Diagnostics for Spatial Dependence and Spatial Heterogeneity
Several diagnostics for the assessment of model misspecification due to spatial dependence and spatial heterogeneity are developed as an application of the Lagrange Multiplier principle. The starting point is a general model which incorporates spatially lagged dependent variables, spatial residual autocorrelation and heteroskedasticity. Particular attention is given to tests for spatial residual autocorrelation in the presence of spatially lagged…
Do Spatial Effecfs Really Matter in Regression Analysis
Advanced Spatial Statistics
Spatial Dependence and Spatial Structural Instability in Applied Regression Analysis
The stability of regression coefficients over the observation set (“regional homogeneity”) is typically assessed by means of a Chow test or within a seemingly unrelated regression (SUR) framework. When spatial error autocorrelation is present in cross‐sectional equations the traditional tests are no longer applicable. I evaluate this both in formal terms as well as empirically. I introduce a taxonomy of spatial effects in models for structural in…
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…
Bringing geography back to the study of international relations: Spatial dependence and regional context in Africa, 1966–1978
The study of international relations usually occurs in a geographic vacuum. Little attention is given to the spatial context, both local and regional, in which interstate relations take place. A methodology for situating interstate relations in context is proposed. It evaluates the separate effects of national attributes, spatial dependence or neighbor effect, and regional heterogeneity on relations among states. Using the example of African inte…
A Framework for the Areal Interpolation of Socioeconomic Data
Spatial data are collected and represented as attributes of spatial objects embedded in a plane. Basis change is defined as the transfer of attributes from one set of objects to another. Methods of basis change for socioeconomic data are reviewed and are seen to differ in the assumptions made in each about underlying density surfaces. These methods are extended to more general cases, and an illustration is provided by using Californian data. The …
The Geography of the Nazi Vote: Context, Confession, and Class in the Reichstag Election of 1930
Competing theories of why voters in Weimar Germany chose the NSDAP (Nazi party) have been only partially supported; the notion of a "catch-all" party, with voters in different classes and social groups, is gaining adherents. Previous research has treated the German electrorate as a national unit. Regional and local elements of the voting surface have been generally ignored, even though strong historical and material conditions generated important…
Reply to Robert A. Muller
Local Indicators of Spatial Association—Lisa
The capabilities for visualization, rapid data retrieval, and manipulation in geographic information systems (GIS) have created the need for new techniques of exploratory data analysis that focus on the “spatial” aspects of the data. The identification of local patterns of spatial association is an important concern in this respect. In this paper, I outline a new general class of local indicators of spatial association (LISA) and show how they al…
Simple diagnostic tests for spatial dependence
Geo-Economic Competition and Trade Bloc Formation: United States, German, and Japanese Exports, 1968-1992
In the post-cold war world, geo-economic competition is thought to be replacing geopolitical competition as the focus of great power relations. The cold war years corresponded to the period of U.S. hegemony in world trade and relations in the Western bloc. With the shrinking of the power gap between the United States and the other two great trading states, Japan and West Germany, as well as increased competition for trade shares, a division of th…
Local Geographic Spillovers between University Research and High Technology Innovations
Assessing Spatial Equity: An Evaluation of Measures of Accessibility to Public Playgrounds
Geographical and political research on urban service delivery-who benefits and why-has proliferated during the past two decades. Overall, this literature is not characterized by a particular attention to the importance of method in drawing conclusions about spatial equity based on empirical studies. Specifically, there has been scant interest in the effect of geographic methodology on assessing the relationship between access and socioeconomic ch…
The Spatial Patterning of County Homicide Rates: An Application of Exploratory Spatial Data Analysis
Toward Spatially Integrated Social Science
This article outlines the motivation for a spatial approach as a novel focus for cross-disciplinary interaction and research in the social and behavioral sciences. The authors review the emerging interest in space and place in the recent social science literature and develop a vision for a spatially integrated social science. This vision provides the conceptual basis for a program of six activities designed to promote a spatial perspective: learn…
Geographic and sectoral characteristics of academic knowledge externalities
Geographic and sectoral characteristics of academic knowledge externalities
Spatial and Panel Data Analysis (35 works) · Computer Science (32 works) · Geography (31 works) · Econometrics (26 works) · Mathematics (26 works) · Statistics (25 works) · Economics (21 works) · Regional Economics and Spatial Analysis (20 works) · Spatial analysis (18 works) · Spatial econometrics (14 works)