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Effect of uneven sampling along an environmental gradient on transfer-function performance

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dc.contributor.author Telford, Richard J.
dc.contributor.author Birks, Harry John Betteley
dc.date.accessioned 2011-11-28T11:04:32Z
dc.date.available 2011-11-28T11:04:32Z
dc.date.issued 2011-04-27
dc.identifier.citation Journal of Paleolimnology 46(1): 99-106 en
dc.identifier.issn 0921-2728
dc.identifier.uri http://dx.doi.org/10.1007/s10933-011-9523-z
dc.identifier.uri http://hdl.handle.net/1956/5236
dc.description.abstract We investigate the effect that uneven sampling of the environmental gradient has on transfer-function performance using simulated community data. We find that cross-validated estimates of the root mean squared error of prediction can be strongly biased if the observations are very unevenly distributed along the environmental gradient. This biased occurs because species optima are more precisely known (and more analogues are available) in the part of the gradient with most observations, hence estimates are most precise here, and compensate for the less precise estimates in the less well sampled parts of the gradient. We find that weighted averaging and the modern analogue technique are more sensitive to this problem than maximum likelihood, and suggest a way to remove the bias via a segment-wise RMSEP procedure. en
dc.language.iso eng en
dc.publisher Springer en
dc.rights ©The Author(s) 2011 en
dc.rights.uri http://www.springer.com/open+access/open+choice?SGWID=0-40359-0-0-0 en
dc.subject Palaeoenvironmental reconstructions en
dc.subject Uneven sampling en
dc.title Effect of uneven sampling along an environmental gradient on transfer-function performance en
dc.type Peer reviewed en
dc.type Journal article en
dc.subject.nsi VDP::Mathematics and natural science: 400::Mathematics: 410 en
dc.subject.nsi VDP::Mathematics and natural science: 400::Geosciences: 450 en
dc.type.version publishedVersion en


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