Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 9
Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4523-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4523-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 9
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: 3,426 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,392 953 81 3,426 327 115 120
  • HTML: 2,392
  • PDF: 953
  • XML: 81
  • Total: 3,426
  • Supplement: 327
  • BibTeX: 115
  • EndNote: 120
Views and downloads (calculated since 22 Jan 2020)
Cumulative views and downloads (calculated since 22 Jan 2020)

Viewed (geographical distribution)

Total article views: 3,426 (including HTML, PDF, and XML) Thereof 3,055 with geography defined and 371 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Nov 2025
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.
Read more
Share