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An Application of Multivariate Statistics to Land-Use Planning: Classifying Land Units into Homogeneous Zones

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A multivariate statistical procedure is presented for classifying a collection of diverse land units, encompassing an extensive wildland area, into homogeneous zones for land management planning purposes. A specific example is presented for use in fire management planning on the Angeles National Forest in southern California. Interpretations of the structure underlying geomorphic and land-use variations between drainage basins aid in differentiating the long-term fire damage-potential in forest zones. Forest Sci. 25:399-414.

Keywords: Land classification; cluster analysis; discriminant function analysis; factor analysis; fire damage-potential

Document Type: Journal Article

Affiliations: Project Leader, National Wildfire Prevention Project, USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, Berkeley, CA

Publication date: September 1, 1979

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