Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4523-2020
https://doi.org/10.5194/hess-24-4523-2020
Research article
 | 
17 Sep 2020
Research article |  | 17 Sep 2020

Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics

Stephanie Thiesen, Diego M. Vieira, Mirko Mälicke, Ralf Loritz, J. Florian Wellmann, and Uwe Ehret

Viewed

Total article views: 2,651 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,800 792 59 2,651 244 62 55
  • HTML: 1,800
  • PDF: 792
  • XML: 59
  • Total: 2,651
  • Supplement: 244
  • BibTeX: 62
  • EndNote: 55
Views and downloads (calculated since 22 Jan 2020)
Cumulative views and downloads (calculated since 22 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,651 (including HTML, PDF, and XML) Thereof 2,283 with geography defined and 368 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Oct 2024
Download
Short summary
A spatial interpolator has been proposed for exploring the information content of the data in the light of geostatistics and information theory. It showed comparable results to traditional interpolators, with the advantage of presenting generalization properties. We discussed three different ways of combining distributions and their implications for the probabilistic results. By its construction, the method provides a suitable and flexible framework for uncertainty analysis and decision-making.