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

Viewed

Total article views: 5,303 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,258 1,955 90 5,303 64 41
  • HTML: 3,258
  • PDF: 1,955
  • XML: 90
  • Total: 5,303
  • BibTeX: 64
  • EndNote: 41
Views and downloads (calculated since 27 Jul 2021)
Cumulative views and downloads (calculated since 27 Jul 2021)

Viewed (geographical distribution)

Total article views: 5,303 (including HTML, PDF, and XML) Thereof 4,923 with geography defined and 380 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 May 2024
Download
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.