Skip to Main Content
Using sampling theory as the basis for a conceptual data modelAuthor(s): Fred C. Martin; Tonya Baggett; Tom Wolfe
Source: In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 464-470.
Publication Series: General Technical Report (GTR)
Station: North Central Research Station
PDF: Download Publication (500.04 KB)
DescriptionGreater demands on forest resources require that larger amounts of information be readily available to decisionmakers. To provide more information faster, databases must be developed that are more comprehensive and easier to use. Data modeling is a process for building more complete and flexible databases by emphasizing fundamental relationships over existing or traditional business operations. Data modeling uses a hierarchical series of models beginning with a conceptual model of the activity of interest. From the conceptual model, a logical model is derived that captures more detail, but in an implementation-independent way. Finally, the logical model is transformed into a physical data model by means of application software. We show how sampling theory was used in a conceptual model to provide an integrating framework for identifying fundamental relationships. By using sampling theory, the final data structure organizes forest vegetation data gathering as a scientific process, rather than as specific business functions.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationMartin, Fred C.; Baggett, Tonya; Wolfe, Tom; Mita, Roy. 2000. Using sampling theory as the basis for a conceptual data model. In: Hansen, Mark; Burk, Tom, eds. Integrated tools for natural resources inventories in the 21st century. Gen. Tech. Rep. NC-212. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station. 464-470.
- EMDS users guide (version 2.0): knowledge-based decision support for ecological assessment.
- How has the state-of-the-art for quantification of landscape pattern advanced in the twenty-first century?
- On the need for a theory of wildland fire spread
XML: View XML