Articles | Volume 12, issue 5
https://doi.org/10.5194/cp-12-1215-2016
https://doi.org/10.5194/cp-12-1215-2016
Technical note
 | 
24 May 2016
Technical note |  | 24 May 2016

Technical note: Estimating unbiased transfer-function performances in spatially structured environments

Mathias Trachsel and Richard J. Telford

Viewed

Total article views: 3,088 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,791 1,156 141 3,088 251 150 124
  • HTML: 1,791
  • PDF: 1,156
  • XML: 141
  • Total: 3,088
  • Supplement: 251
  • BibTeX: 150
  • EndNote: 124
Views and downloads (calculated since 08 Oct 2015)
Cumulative views and downloads (calculated since 08 Oct 2015)

Cited

Saved (preprint)

Latest update: 16 Jul 2024
Download
Short summary
In spatially structured environments, conventional cross validation results in over-optimistic transfer function performance estimates. 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. We assess three methods for determining the optimal h using simulated data and published transfer functions. Some transfer functions perform notably worse when h-block cross validation is used.