Spatial interpolation methods for interpretation of ordination diagrams
dc.contributor.author | Mucina, Ladislav | |
dc.contributor.author | Hauser, M. | |
dc.date.accessioned | 2017-01-30T11:47:43Z | |
dc.date.available | 2017-01-30T11:47:43Z | |
dc.date.created | 2010-09-30T03:52:48Z | |
dc.date.issued | 1991 | |
dc.identifier.citation | Hauser, M. & Mucina, L. 1991. Spatial interpolation methods for interpretation of ordination diagrams. Coenoses 6: 151-168. | |
dc.identifier.uri | http://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.title | Spatial interpolation methods for interpretation of ordination diagrams | |
dc.type | Journal Article | |
curtin.note |
This item may be available from Professor Ladislav Mucina | |
curtin.note |
Email: L.Mucina@curtin.edu.au | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | School of Agriculture and Environment | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.faculty | Department of Environmental Biology |