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Spatialize v1.0: a Python/C+ + library for ensemble spatial interpolation
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DOI：10.5194/gmd-19-4633-2026.png)
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Abstract
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Abstract. In this paper; we present Spatialize; an open-source library that implements ensemble spatial interpolation; a novel method that combines the simplicity of basic interpolation methods with the power of classical geostatistical tools; like Kriging. It leverages the richness of stochastic modelling and ensemble learning; making it robust; scalable and suitable for large datasets. In addition; Spatialize provides a powerful framework for uncertainty quantification; offering both point estimates and empirical posterior distributions. It is implemented in Python 3.x; with a C ++ core for improved performance; and is designed to be easy to use; requiring minimal user intervention. This library aims to bridge the gap between expert and non-expert users of geostatistics by providing automated tools that rival traditional geostatistical methods. Here; we present a detailed description of Spatialize along with a wealth of examples of its use.
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