| DOI: | 10.5194/cp-12-1215-2016
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| Scopus记录号: | 2-s2.0-84971304015
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| 论文题名: | Technical note: Estimating unbiased transfer-function performances in spatially structured environments |
| 作者: | Trachsel M.; Telford R.J.
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| 刊名: | Climate of the Past
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| ISSN: | 18149324
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| 出版年: | 2016
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| 卷: | 12, 期:5 | | 起始页码: | 1215
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| 结束页码: | 1223
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| 语种: | 英语
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| Scopus关键词: | analytical method
; environmental technology
; estimation method
; functional role
; paleoclimate
; paleoenvironment
; performance assessment
; reconstruction
; spatial analysis
; yield response
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| 英文摘要: | Conventional cross validation schemes for assessing transfer-function performance assume that observations are independent. In spatially structured environments this assumption is violated, resulting in over-optimistic estimates of transfer-function performance. H-block cross validation, where all samples within h kilometres of the test samples are omitted, is a method for obtaining unbiased transfer-function performance estimates. In this study, we assess three methods for determining the optimal h. Using simulated data, we find that all three methods result in comparable values of h. Applying the three methods to published transfer functions, we find they yield similar values for h. Some transfer functions perform notably worse when h-block cross validation is used. © Author(s) 2016. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/49011
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| Appears in Collections: | 气候变化与战略
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| Recommended Citation: | |
Trachsel M.,Telford R.J.. Technical note: Estimating unbiased transfer-function performances in spatially structured environments[J]. Climate of the Past,2016-01-01,12(5)
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