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    Scale invariant measures of pattern intensity and grain: A simulation experiment

    Access Status
    Fulltext not available
    Authors
    Mucina, Ladislav
    Geisselbrecht, J.
    Geisselbrecht-Taferner, L.
    Date
    2000
    Type
    Journal Article
    
    Metadata
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    Citation
    Mucina, L., Geisselbrecht, J. & Geisselbrecht-Taferner, L. 2000. Scale-invariant measures of pattern intensity and grain: a simulation experiment. Environmental and Ecological Statistics 7(3): pp 255-261.
    DOI
    10.1023/A:1009667016229
    Faculty
    School of Agriculture and Environment
    Faculty of Science and Engineering
    Department of Environmental Biology
    Remarks

    This item may be available from Professor Ladislav Mucina

    Email: L.Mucina@curtin.edu.au

    URI
    http://hdl.handle.net/20.500.11937/30800
    Collection
    • Curtin Research Publications
    Abstract

    We propose new dimensionless and scale-invariant measures for detection of pattern intensity, deined as the level of aggregation of individuals regardless their kind, and pattern grain, the level of segregation among individuals of at least two different kinds in point-pattern spatial data using tessellation methodology. Both real and simulated data on spatial distribution of plants in ecological communities show that the proposed parameters can be considered fingerprints of particular point patterns. This approach allows definition of both pattern intensity and grain for any kind of tessellated plane in an operational way, rendering these available for quantification and testing.

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