Spatialize v1.0: a Python/C+ +  library  for ensemble spatial interpolation

Navarro, Felipe; Egaña, Alvaro F.; Ehrenfeld, Alejandro; Garrido, Felipe; Valenzuela, María Jesús; Sánchez-Pérez, Juan F.

doi:10.5194/gmd-19-4633-2026

Articles | Volume 19, issue 10

https://doi.org/10.5194/gmd-19-4633-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-4633-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 10

Development and technical paper

|

01 Jun 2026

Development and technical paper |

| 01 Jun 2026

Spatialize v1.0: a Python/C+ + library for ensemble spatial interpolation

Felipe Navarro, Alvaro F. Egaña, Alejandro Ehrenfeld, Felipe Garrido, María Jesús Valenzuela, and Juan F. Sánchez-Pérez

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Final revised paper (published on 01 Jun 2026)
Supplement to the final revised paper
Preprint (discussion started on 29 Aug 2025)
Supplement to the preprint

Interactive discussion

Status: closed

RC1:
'Comment on egusphere-2025-3272', Anonymous Referee #1, 21 Dec 2025

The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3272/egusphere-2025-3272-RC1-supplement.pdf

Citation: https://doi.org/10.5194/egusphere-2025-3272-RC1
- AC1: 'Reply on RC1', Felipe Navarro, 30 Jan 2026
  
  We would like to thank the reviewer for their constructive feedback on our manuscript. Our responses can be found in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-3272-AC1
RC2:
'Comment on egusphere-2025-3272', Anonymous Referee #2, 23 Dec 2025

The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3272/egusphere-2025-3272-RC2-supplement.pdf

Citation: https://doi.org/10.5194/egusphere-2025-3272-RC2
- AC2: 'Reply on RC2', Felipe Navarro, 30 Jan 2026
  
  We would like to thank the reviewer for their constructive feedback on our manuscript. Our responses can be found in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-3272-AC2

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload

AR by Felipe Navarro on behalf of the Authors (30 Jan 2026) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (13 Feb 2026) by Klaus Klingmüller

ED: Publish subject to minor revisions (review by editor) (01 Apr 2026) by Klaus Klingmüller

AR by Felipe Navarro on behalf of the Authors (12 Apr 2026) Author's response Author's tracked changes Manuscript

ED: Publish as is (29 Apr 2026) by Klaus Klingmüller

AR by Felipe Navarro on behalf of the Authors (07 May 2026) Manuscript

Short summary

Spatialize is an open-source Python/C++ library for Ensemble Spatial Interpolation (ESI), combining simple interpolation with geostatistics like Kriging. It uses random space partitions (Mondrian and Voronoi forests) and ensemble learning for robust, scalable spatial interpolation and uncertainty quantification. Designed for non-experts, Spatialize supports gridded and non-gridded data, automates hyperparameter search, and delivers competitive accuracy in geoscientific applications.