Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4633-2026
https://doi.org/10.5194/gmd-19-4633-2026
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

Model code and software

Spatialize v1.0: A Python/C++ Library for Ensemble Spatial Interpolation Felipe Navarro et al. https://doi.org/10.5281/zenodo.16782612

Spatialize Felipe Navarro et al. https://github.com/alges/spatialize

Download
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.
Share