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Title GCE Software Tools for Data Mining, Analysis and Synthesis
Archive All Files / Documents / Presentations / Posters

The GCE-LTER project and partner organizations (SINERR, UGAMI, USGS) collect extensive environmental monitoring data around Sapelo Island on the SE Georgia Coast. In order to put these observations into a broader spatial and temporal context, it is also important to compare these data with other environmental monitoring observations. Long-term, spatially-extensive climate and hydrologic databases maintained by the LTER Network (ClimDB/HydroDB), USGS (National Water Information System) and NOAA (National Weather Service) are valuable resources for broad-scale comparisons (fig.1). For example, the LTER Network's ClimDB/HydroDB database contains approximately 7 million daily records for 281 monitoring stations at 39 LTER and USFS sites, providing critical support for LTER cross-site comparisons. USGS and NOAA collect long-term climate and hydrologic data from a vast array of locations across North America (~8000 real-time USGS monitoring stations and ~12,000 active NWS COOP weather stations), supporting truly large-scale regional analyses.

Contributor Wade M. Sheldon

Sheldon, W.M. Jr. 2009. Poster: GCE Software Tools for Data Mining, Analysis and Synthesis. 2009 Annual Meeting of the Georgia Coastal Ecosystems LTER Project, January 6-7, 2009, Athens, Georgia.

Key Words analysis, data mining, LTER-IMC, MATLAB, quality control, software, synthesis
File Date 2009
Web Link MS PowerPoint
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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.