Parallel and Distributed Geomatics
A key factor in assessing the value of geomatic systems is their performance.
Improved performance will positively affect the productivity and the competitiveness of
sectors of Canadian Industry dealing with spatial/geographical data.
Parallel/Distributed computing, one of the fastest growing industries in information technology,
has the potential to deliver the required performance increase.
The purpose of the proposed fundamental research is to make them available to Geomatics.
This adds a new dimension to Geomatics and merges two areas of importance and high potential.
In particular the focus is on fundamental research themes related to decision support,
information dissemination and data management technologies, and whose results can
possibly be incorporated in business/commerce sectors and environmental management sectors.
This research is feasible only with the help of an inter-disciplinary team, having insights
into computer architecture, computer science, and geomatic application areas,
and we strongly believe that the
is an ideal platform to achieve our objectives.
The research team is comprised of researchers from four Universities:
Carleton, UBC, Laval and Dalhousie and they represent Geomatics and Forestry,
Computer Science, and Systems and Computer Engineering disciplines.
The project leaders are Jörg-Rüdiger Sack (Carleton) and Anil Maheshwari (Carleton).
Members are: P. Bose, J. Snoeyink , C. Gold, T. Kunz, A. Rau-Chaplin, M. McAllister,
D. Nussbaum, M. Lanthier, and W. Evans.