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Nonparametric projections of forest and rangeland condition indicators : a technical document supporting the 2005 USDA Forest Service RPA assessment update

Author: John G Hof; Rocky Mountain Research Station (Fort Collins, Colo.)
Publisher: Fort Collins, CO : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [2006]
Series: General technical report RMRS, GTR-166.
Edition/Format:   Print book : Document   Computer File : EnglishView all editions and formats
Summary:
"The 2005 Forest and Rangeland Condition Indicator Model is a set of classification trees for forest and rangeland condition indicators at the national scale. This report documents the development of the database and the nonparametric statistical estimation for this analytical structure, with emphasis on three special characteristics of condition indicator production processes: (1) the inability of humans to  Read more...
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Additional Physical Format: Online version:
Nonparametric projections of forest and rangeland condition indicators.
Fort Collins, CO : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [2006]
(OCoLC)985624849
Material Type: Document, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: John G Hof; Rocky Mountain Research Station (Fort Collins, Colo.)
OCLC Number: 71195422
Notes: "April 2006"--Page 4 of cover.
Description: iii, 39 pages : illustrations, color maps ; 28 cm.
Details: Mode of access: Internet.
Series Title: General technical report RMRS, GTR-166.
Responsibility: John Hof [and others].

Abstract:

"The 2005 Forest and Rangeland Condition Indicator Model is a set of classification trees for forest and rangeland condition indicators at the national scale. This report documents the development of the database and the nonparametric statistical estimation for this analytical structure, with emphasis on three special characteristics of condition indicator production processes: (1) the inability of humans to completely control ecological systems; (2) the lack of a theoretical basis for specific relational functional forms, suggesting the need for a highly flexible model structure; and (3) the broadscale spatial nature of the problem (and data). The resolution of data deficiencies is also examined. Finally, the model projections themselves are presented and discussed using national-scale maps."

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