The Center for Spatial Data Science (CSDS) addresses research questions where location represents an important dimension of the research problem, with applications in economic geography, environmental economics, sociology, criminology, public health, and other social sciences. 

CSDS also develops new methods and open-source software tools for spatial econometric modeling, clustering, exploratory analysis, geovisual analytics, and CyberGIS (Geographic Information Systems).

SPATIAL METHODS

Luc Anselin  A new spatial statistic to identify local clusters in multivariate space

A local indicator of multivariate spatial association: A new spatial statistic to identify local clusters in multivariate space

James Saxon 

 

 A quantitative framework for evaluating the implications of spatial constraints in districting reform

Gerrymandering and compactness: A quantitative framework for evaluating the implications of spatial constraints in districting reform

Anselin, Kolak Spatial econometrics and program evaluation Spatial econometrics and program evaluation (Anselin, Kolak, and Mobley)
Anselin et al. Modeling health outcomes with spatial multilevel methods Modeling health outcomes with spatial multilevel methods (Luc Anselin, Levi Wolf, and Lee Mobley)

HEALTH INFORMATICS

James Saxon  A new rational agent access model Accessibility of primary healthcare: A new rational agent access model
Marynia Kolak  Integrating data and spatial analysis to continuously assess health programs and outcomes Open spatial technology frameworks: Integrating data and spatial analysis to continuously assess health programs and outcomes
Kolak et al. Disparities in healthy food access in Chicago, 2007–2014 Disparities in healthy food access in Chicago, 2007–2014
with M. Kolak  Spatial relation of local health department services and opioid overdose. Spatial relation of local health department services and opioid overdose.
Kolak et al. Mapping Census Tract Clusters of Type 2 Diabetes in a Primary Care Population Mapping Census Tract Clusters of Type 2 Diabetes in a Primary Care Population

RETAIL

Kevin Credit Understanding the connection between transportation modes, agglomeration benefits, and types of businesses

Understanding the connection between transportation modes, agglomeration benefits, and types of businesses

Kevin Credit  a spatial econometric analysis of new business creation around transit Transitive properties: a spatial econometric analysis of new business creation around transit
Kevin Credit Quantifying the Retail Apocalypse Quantifying the Retail Apocalypse

OTHER

Robert Manduca 	 The Contribution of National Income Inequality to Regional Economic Divergence

The Contribution of National Income Inequality to Regional Economic Divergence

see summaries in Washington Monthly and WA Ctr for Equitable Growth

James Saxon  Using mobile phone traces to construct a neighborhood-level mobility network Local structures of human mobility in Chicago: Using mobile phone traces to construct a neighborhood-level mobility network