Articles | Volume 19, issue 5
https://doi.org/10.5194/cp-19-1043-2023
https://doi.org/10.5194/cp-19-1043-2023
Research article
 | 
30 May 2023
Research article |  | 30 May 2023

Refining data–data and data–model vegetation comparisons using the Earth mover's distance (EMD)

Manuel Chevalier, Anne Dallmeyer, Nils Weitzel, Chenzhi Li, Jean-Philippe Baudouin, Ulrike Herzschuh, Xianyong Cao, and Andreas Hense

Viewed

Total article views: 1,736 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,297 381 58 1,736 50 60
  • HTML: 1,297
  • PDF: 381
  • XML: 58
  • Total: 1,736
  • BibTeX: 50
  • EndNote: 60
Views and downloads (calculated since 08 Jul 2022)
Cumulative views and downloads (calculated since 08 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,736 (including HTML, PDF, and XML) Thereof 1,667 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Oct 2024
Download
Short summary
Data–data and data–model vegetation comparisons are commonly based on comparing single vegetation estimates. While this approach generates good results on average, reducing pollen assemblages to single single plant functional type (PFT) or biome estimates can oversimplify the vegetation signal. We propose using a multivariate metric, the Earth mover's distance (EMD), to include more details about the vegetation structure when performing such comparisons.