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Illustrative Research Areas
Graduate students and faculty are engaged in far ranging yet complementary research programs. Many of the projects involve multi-investigator and cross-disciplinary efforts. For specific project descriptions, consult the NCGIA site. The following are illustrative of general areas within which specific topics are being pursued.
Spatio-Temporal Models
A growing amount of data and information have important spatial and temporal dimensions. We need methods to manage, query, and access both dimensions.
Research areas:
- Databases for moving objects
- Location based services
- Event based models
Sensor Based Systems
Multiple sensing devices need to be integrated with computing platforms and wireless communications capabilities. We need advanced methods for doing so.
Research areas:
- Data processing, summarization and analysis in the network
- Algorithms for autonomous adaptation and self-configuration of the network
- User interaction - query languages for sensor networks
User Interfaces and Interactions
As devices get smaller and we need to use them in different environments. New interaction paradigms are needed under the differing conditions.
Research areas:
- Sketch interaction
- Egocentric pointing device
- Space-time visualization environments
Information Extraction
Surveillance and monitoring systems generate huge volumes of information. From such data streams we want to identify objects and/or behaviors.
Research areas:
- Automated feature extraction from satellite and aerial imagery
- Detection and tracking of moving objects from imagery
- Event detection and activity monitoring from time series and space-time series sensing
Information Integration
Growing heterogeneous collections of information (maps, images, text, video, time series) need to be integrated and searched for patterns
Research areas:
- Semantic similarity models
- Event data models
- Metadata models
- Uncertainty models
Information Policy: Access, Security, Privacy, Intellectual Property Rights
As technologies and their interaction with society become more complex, neither technological nor legal solutions uninformed by the other are sufficient.
Research areas:
- Ethics driven information systems design
- Models for internalizing externalities in systems design and development
- Societal needs driven metadata, data provenance and recommender systems.
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Spatial Information Science and Engineering
5711 Boardman Hall, Room 348
The University of Maine
Orono, Maine 04469-5711
Phone: 207.581.2188
Fax: 207.581.2206 |
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