Research Interests:

My areas of research interest are geographic information systems (GIS), geographic knowledge discovery, and geo-visualization. These three components of my research are integrated within the context of environmental modeling and public health applications.

Specifically, geographic information systems enable the collection, geo-coding, storage, preprocessing, and static display of environmental data and the construction of spatial databases. Geographic knowledge discovery is the extraction of spatial relations or patterns not explicitly stored in the spatial databases. This is achieved through intelligent data mining algorithms. These algorithms find relationships between variables in the environmental system, extract patterns, and make predictions of environmental dynamics. Geo-visualization involves the use of visual representations to make spatial contexts and problems visible, often with an interactive and animated visualization environment. It is an particularly effective tool to explore geographic data and communicate geographic information to private or public audiences. In this means, it plays important roles in both geographic knowledge discovery and presenting the patterns or relationships extracted through geographic knowledge discovery.

Theorectical Research:

My theoretical research on geographic knowledge discovery focuses on the following aspects: 1) examining geographic knowledge discovery and classification from the perspective of human cognition, 2) developing schemes for organizing knowledge used in categorizing and mapping spatial entities with indeterminate boundaries, such as natural resource classes, wildlife habitats, natural hazards, among others, 3) integrating geo-visualization with geographic knowledge discovery for extracting spatio-temporal patterns, and 4) investigating data mining algorithms for extracting such knowledge from spatiotemporal databases.

Practical Applications:

My current research projects cover the following areas:

1) Spatial data mining and fuzzy modeling for natural resource mapping.

uncertaintyI have been continuing my research efforts in spatial data mining for soil mapping, now focusing on using the mined knowledge to update existing inventory maps, uncertainties involved in natural resource classification using mined knowledge, and fuzziness vs. probability in the modeling of such uncertainties.

2 )Space-time behavioral studies

A recent grant from the NIH started my research on using modern mobile technologies to capture and model human space-time behavior and contact charateristics. Such study trackingincludes using tracking technologies to capture data on invididual space-time paths and using advanced visualization and knowledge discovery methods to generate a hypothesis of individual spatiotemporal behaviors that are more susceptible to flu infection during a widespread outbreak and provide recommendations for flu prevention at the micro scale.

animation3) Spatio-temporal visualization of high way air quality for public communication.

Interactive and animated exploratory visualization methods are investigated for effective communication of complex environmental dynamics to the general public.

4) Visualization and data mining of urban environment monitored with a sensor network. interactive map

An integrated wireless-wired sensor network is being implemented in the vicinities of Kean Univ. to monitor and model the human-environment interactions and environmental dynamics in an urban community. Integrated data mining and visualization approach is taken to reveal patterns and generate predictions for decision making.

5) Habitat mapping in the tropical forests in Costa Rica.. COSTA RICA

A GIS database is being compiled to map natural and disturbed habitats of tropical plant species in Costa Rica to study the human impacts on natural ecosystems.

Funded Projects:    

2014            Capture and Model Human Behavior Using Mobile Sensing, Kean University PI.

2013-2015    Ecosystem Studies in the Maquenque National Wildlife Refuge of Costa Rica, NSF REU, Senior Personel.

2011            A novel visualization of the globalized world: implications for infectious disease transmission, Kean University through the Presidential Scholars Challenge Award, PI, $39,268.

2010-2012    Influenza transmission: exploratory visualization and knowledge discovery of individual space-time behavioral patterns, National Insitute of Health (NIH), PI. $151,268.

2010            Community Environmental Networks for Risk Identification and Management, Kean University through the Presidential Scholars Challenge Award, Co-PI, $49,746.

2009-2010    Fog Occurrence using GIS: Predicting Areal & Point Estimation by Regression. Kean University New Research Initiatives Award, Co-PI, $15,000.

2009-2010  Modeling and Visualizing Uncertainty in Geographic Knowledge Discovery. Funded by Kean University Untenured Faculty Research Initiative (UFRI), PI.

2009             UrbanNet: Urban Environment Monitoring and Modeling with a Wireless Sensor Network. Funded by Kean University New Research Initiatives, Co-PI, $15,000. 

2008-2009  Visualizing Highway Air Pollution: Design and Assessment of a Geo-visualization Tool to Support Geographic Knowledge Discovery and Public Communication. Funded by the New Jersey Meadowlands Commission (NJMC), PI. $33,959.

2008-2009    Analysis and visualization of spatiotemporal changes of urban landscape pattern in Union County , NJ . Funded by Kean University Students Partnering with Faculty (SPF) 2008, PI. $16,160.

2008-2009    Integrating Geo-visualization with Spatial Data Mining: a Case Study on Spatial Temporal Modeling of High Way Air Quality. Funded by Kean University Untenured Faculty Research Initiative (UFRI), PI.


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Last updated by Feng Qi, 2/02/2014