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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.
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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: 1979-09-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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