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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (27 May 2020) by Christa Kelleher
AR by Stephanie Thiesen on behalf of the Authors (03 Jun 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Jun 2020) by Christa Kelleher
RR by Anonymous Referee #1 (28 Jul 2020)
ED: Publish as is (30 Jul 2020) by Christa Kelleher
AR by Stephanie Thiesen on behalf of the Authors (03 Aug 2020)  Manuscript 
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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.