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Research

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.
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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