Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 13
Articles | Volume 16, issue 13
https://doi.org/10.5194/gmd-16-3765-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3765-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 13
Development and technical paper
 | 
06 Jul 2023
Development and technical paper |  | 06 Jul 2023

GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation

Emma J. MacKie, Michael Field, Lijing Wang, Zhen Yin, Nathan Schoedl, Matthew Hibbs, and Allan Zhang

Viewed

Total article views: 2,986 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,918 993 75 2,986 77 68
  • HTML: 1,918
  • PDF: 993
  • XML: 75
  • Total: 2,986
  • BibTeX: 77
  • EndNote: 68
Views and downloads (calculated since 18 Nov 2022)
Cumulative views and downloads (calculated since 18 Nov 2022)

Viewed (geographical distribution)

Total article views: 2,986 (including HTML, PDF, and XML) Thereof 2,931 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 10 Mar 2025
Download
Short summary
Earth scientists often have to fill in spatial gaps in measurements. This gap-filling or interpolation can be accomplished with geostatistical methods, where the statistical relationships between measurements are used to inform how these gaps should be filled. Despite the broad utility of these methods, there are few freely available geostatistical software applications. We present GStatSim, a Python package for performing different geostatistical interpolation methods.
Read more
Share