Applications of GIS to Head Trauma Study
Applications of GIS to the Spatial Mismatch Problem
Development of an Internet Map Server
Enhancing the integration of GIS and spatial Statistics for Interdisciplinary research
Exploratory Analysis of Large Spatio-temporal Data
GIS Application in Public Housing Studies
GIS-based Environmental Equity Study
Integration of GIS and Modeling in Planning Decision Making
Knowledge Discovery from spatial data sets in Distributed Environment
Scientific Visualization of Spatial Flows
Spatial Analysis of Pertussis in the Greater Cincinnati Region
Spatial Relationship of Human Health Indicators and Environmental Quality
Statistical Study of the Spatial Distribution Pattern of Water Quality in Ohio
Using GIS to Study the Watershed Characteristics and Flood Damage Reduction 

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Applications of GIS to Head Trauma Study
Use GIS to examine the spatial distribution of head trauma in Cincinnati. This is a collaborative project between geography and Children’s Hospital Medical Center, Cincinnati, Ohio. 

Applications of GIS to the Spatial Mismatch Problem 
The goal of this project is to study spatial patterns of commuting flows and examine the spatial distribution of employers and employees in Cincinnati and Columbus in relating to the spatial mismatch problem. This is a collaborative project between geography faculty at University of Cincinnati and the Ohio State University.

Development of an Internet Map Server 
The project is to explore the application of an Internet Map Server in community service and planning. See the lateset progress of the web site at http://www.daap.uc.edu/mapserver2. 

Enhancing the integration of GIS and spatial Statistics for Interdisciplinary research
Funded by the Faculty Development council of University of Cincinnati. 

Exploratory Analysis of Large Spatio-temporal Data
The long term goal of this project to develop a set of tools that can assist researcher to generate new hypotheses from large spatio-temporal data. This is a collaborative project between geography faculty at University of Cincinnati and the Ohio State University.

GIS Application in Public Housing Studies 
The study aims to answer questions related to the Department of Housing and Urban Development Vouchering-out program. What happens when families are provided with housing vouchers and "moderate" relocation counseling to move out from distressed publicly developments? How far do they move and to what extent are they able to attain better housing and neighborhood conditions? GIS and statistical analysis are used to analyze interrelationships between background personal characteristics, characteristics of the housing search, objective characteristics of the new location, and assessments of the new location. Dr. Xinhao Wang is collaborated with Dr. David Varady from the University of Cincinnati and Ms. Carole Walker from Rutgers University. 

GIS-based Environmental Equity Study
This project is designed to answer questions such as what are the best and most appropriate ways of applying GIS to environmental equity study and how the results change with different scales and zoning of spatial data.

Integration of GIS and Modeling in Planning Decision Making
Funded by the DAAP Challenge Fund, Summer Faculty Research Fellowship, University of Cincinnati, and the Procter and Gamble Company. The integration of GIS, digital data management, simulation, optimization within a general framework is potentially capable of providing decision support and risk analysis tools to public works, industries, consulting engineers, and government officials responsible for developing and operating environmental management systems and evaluating planning alternatives. The project aims at developing decision support systems which will benefit environmental protection programs and contribute to the knowledge of integrating GIS, modeling, and decision-support systems in environmental planning and management. Dr. Xinhao Wang is collaborated with Dr. Michael Miller and Dr. Steven Depeo from the University of Cincinnati, Dr. Gordon Huang from Regina University, Dr. Zhi-Yong Yin from Georgia State University, Mr. Bruce Stauffer from Advanced Technology Solutions, Inc., and Dr. Scott Dyer and Ms. Charlotte White-Hull from the Procter and Gamble Company. 

Knowledge Discovery from spatial data sets in Distributed Environment
The aim of this project to investigate scientific methods that can assist researchers to obtain knowledge from spatial data sets that are distributed across multiple computers. This is a collaborative project between faculty from Geography and Computer Science. 

Scientific Visualization of Spatial Flows
The objective of this project to develop methods based on scientific visualization to reveal spatial patterns of spatial flows. A proof-of-concept system will be implemented to test the developed methods. 

Spatial Analysis of Pertussis in the Greater Cincinnati Region
Use GIS to examine the spatial distribution of pertussis in Cincinnati. This is a collaborative project between geography and Children’s Hospital Medical Center, Cincinnati, Ohio. 

Spatial Relationship of Human Health Indicators and Environmental Quality
Funded by the University Research Council. GIS analytical tools are used to study the spatial relationship between the human health (measured as mortality rate) and the access to contamination sites (measured as distance). In addition, spatial distribution of social economic indicators is included in the effort to find the cause of such pattern. Dr. Xinhao Wang is collaborated with Dr. Christopher Auffrey from the University of Cincinnati.

Statistical Study of the Spatial Distribution Pattern of Water Quality in Ohio
Funded by the DAAP College Research Challenge Funds and the Procter and Gamble Company. GIS is used to analyze spatial distribution pattern of water quality, measured with chemical, biological, ecological, and habitat indicators in rivers in Ohio and to develop spatial relationship between water quality and land uses. These studies contribute to the knowledge of water quality measured by different indicators and the relationship among them. Dr. Xinhao Wang is collaborated with Dr. Zhi-Yong Yin from Georgia State University, Dr. Scott Dyer, Ms. Charlotte White-Hull, Mr. Troy D. Johnson, and Mr. Greg J. Carr from the Procter and Gamble Company, and Dr. Eric Smith from Virginia Polytechnic Institute & State University. 

Using GIS to Study the Watershed Characteristics and Flood Damage Reduction 
With public-accessible digital data, the project studies the characteristics of drainage networks and drainage basin physiographic parameters that have been used widely in hydrologic calculation and modeling. Automated generation of drainage networks has become increasingly popular with the use of GIS and availability of digital elevation models (DEMs). The study is are important in water resources planning and management. Dr. Xinhao Wang is collaborated with Dr. Zhi-Yong Yin from Georgia State University. View a Web-based Flood Warning System at http://www.daap.uc.edu/scripts/esrimap.dll?name=htmlmap&cmd=Flood.default.