spatialize 1.0.2

Spatialize: A Python wrapper for C++ ESI library

Spatialize: A Python wrapper for C++ ESI library

What is it?

Spatialize is 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 geoestatistical tools, like Kriging.

This library aims to bridge the gap between expert and non-expert users of geostatistics by providing automated tools that rival traditional geostatistical methods.

Main features of the library include:

• Stochastic modelling and ensemble learning, making it robust, scalable and suitable for large datasets.
• 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.
• It is designed to be easy to use, requiring minimal user intervention.

Where to get it

The source code is currently hosted on GitHub at: https://github.com/alges/spatialize

Direct installers for the latest released version are available at the Python Package Index (PyPI).

PyPI

pip install spatialize

Dependencies

• NumPy: Powerful n-dimensional arrays and numerical computing tools
• pandas: Fast, powerful, flexible and easy to use open source data analysis and manipulation tool
• Matplotlib: Visualization with Python
• scikit-learn: Machine Learning in Python
• SciPy: Fundamental algorithms for scientific computing in Python

License

Apache-2.0

Acknowledge

Please cite the following paper when publishing work relating to this library:

@article{spatialize2025,
    title = {Spatialize: A Python/C++ Library for Ensemble Spatial Interpolation},
    author = {Ega{\~n}a, {\'A}lvaro F. and Ehrenfeld, Alejandro and Navarro, Felipe and Garrido, Felipe and Valenzuela, Mar{\'i}a Jes{\'u}s and S{\'a}nchez-P{\'e}rez, Juan F. },
    date = {},
    doi = {},
    isbn = {},
    journal = {},
    number = {},
    pages = {},
    url = {},
    volume = {},
    year = {2025},
 }