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dc.contributor.authorMucina, Ladislav
dc.contributor.authorGeisselbrecht, J.
dc.contributor.authorGeisselbrecht-Taferner, L.
dc.date.accessioned2017-01-30T13:21:35Z
dc.date.available2017-01-30T13:21:35Z
dc.date.created2010-10-01T01:43:34Z
dc.date.issued2000
dc.identifier.citationMucina, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/30800
dc.identifier.doi10.1023/A:1009667016229
dc.description.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.

dc.titleScale invariant measures of pattern intensity and grain: A simulation experiment
dc.typeJournal Article
curtin.note

This item may be available from Professor Ladislav Mucina

curtin.note

Email: L.Mucina@curtin.edu.au

curtin.accessStatusFulltext not available
curtin.facultySchool of Agriculture and Environment
curtin.facultyFaculty of Science and Engineering
curtin.facultyDepartment of Environmental Biology


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