Articles | Volume 15, issue 6
https://doi.org/10.5194/gmd-15-2505-2022
https://doi.org/10.5194/gmd-15-2505-2022
Model description paper
 | 
25 Mar 2022
Model description paper |  | 25 Mar 2022

SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python

Mirko Mälicke

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-174', Anonymous Referee #1, 10 Oct 2021
    • AC1: 'Reply on RC1', Mirko Mälicke, 14 Oct 2021
    • AC2: 'Reply on RC1', Mirko Mälicke, 19 Oct 2021
  • RC2: 'Comment on gmd-2021-174', Anonymous Referee #2, 13 Jan 2022
    • AC3: 'Reply on RC2', Mirko Mälicke, 13 Jan 2022
  • RC3: 'Comment on gmd-2021-174', Anonymous Referee #3, 18 Jan 2022
    • AC4: 'Reply on RC3', Mirko Mälicke, 19 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mirko Mälicke on behalf of the Authors (04 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 Feb 2022) by Rohitash Chandra
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Short summary
I preset SciKit-GStat, a well-documented and tested Python package for variogram estimation. The variogram is the core means of geostatistics, which almost all other methods rely on. Geostatistical interpolation and field generation are widely spread in geoscience, i.e., for data assimilation or modeling. While SciKit-GStat focuses on effective and intuitive variogram estimation, it can interface with other prominent packages and make its variograms available for a multitude of methods.