A Forest Canopy Research Database and Analysis System.

Laurance J. Milask, Traci Guynup, Christopher Hammel, Larry Kerschberg, George Michaels: A Forest Canopy Research Database and Analysis System. SSDBM 1997: 108-111

@inproceedings{DBLP:conf/ssdbm/MilaskGHKM97,
  author    = {Laurance J. Milask and
               Traci Guynup and
               Christopher Hammel and
               Larry Kerschberg and
               George Michaels},
  editor    = {Yannis E. Ioannidis and
               David M. Hansen},
  title     = {A Forest Canopy Research Database and Analysis System},
  booktitle = {Ninth International Conference on Scientific and Statistical
               Database Management, Proceedings, August 11-13, 1997, Olympia,
               Washington, USA},
  publisher = {IEEE Computer Society},
  year      = {1997},
  isbn      = {0-8186-7952-2},
  pages     = {108-111},
  ee        = {db/conf/ssdbm/MilaskGHKM97.html},
  crossref  = {DBLP:conf/ssdbm/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Described is a prototype database and analysis system developed to support the specific domain of forest canopy research. This effort utilized a multidiscipline team comprised of information (database systems), statistical analysis and forest canopy scientists. Both large scale (Oracle) and smaller scale (Visual FoxPro) databases were prototyped. A WEB-based query interface to the Oracle system was also demonstrated. This paper addresses the FoxPro database and S-Plus statistical analysis interface developed to address the data analysis, data integration, and data distribution requirements of the originating forest canopy research team. The prototype system employs Visual FoxPro (VFP) as the database engine. Visualization and analytical functions are demonstrated by the use of VFP forms and custom designed S-Plus procedures. Finally, a WEB database server facility is also demonstrated. The authors conclude that value-added support centers could be created to develop and disseminate small-scale database and analysis systems to a specific scientific community.

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Yannis E. Ioannidis, David M. Hansen (Eds.): Ninth International Conference on Scientific and Statistical Database Management, Proceedings, August 11-13, 1997, Olympia, Washington, USA. IEEE Computer Society 1997, ISBN 0-8186-7952-2
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References

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