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dc.contributor.authorMucina, Ladislav
dc.contributor.authorHauser, M.
dc.date.accessioned2017-01-30T11:47:43Z
dc.date.available2017-01-30T11:47:43Z
dc.date.created2010-09-30T03:52:48Z
dc.date.issued1991
dc.date.submitted2010-09-30
dc.identifier.citationHauser, M. & Mucina, L. 1991. Spatial interpolation methods for interpretation of ordination diagrams. Coenoses 6: 151-168.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/15064
dc.description.abstract

Spatial interpolation methods are very popular in geosciences. Among these, trend surface analysis (TSA), inverse-distance interpolation, splines, and kriging are the most commonly used. Although vegetation science handles many spatial aspects of ecological data, these methods have experienced less appreciation. TSA and kriging interpolations are discussed in the present paper. Detailed formulations of the techniques are given, and their advantages and flaws briefly discussed. Two example data sets are used to elucidate the applications of these methods in the interpretation of ordination diagrams.

dc.titleSpatial interpolation methods for interpretation of ordination diagrams
dc.typeJournal Article
curtin.digitool.pid146423
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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