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6 changes: 3 additions & 3 deletions README.md
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![JOSS](https://joss.theoj.org/papers/3f87f562264c4e5174d9e6ed6d8812aa/status.svg) [![License](https://img.shields.io/badge/License-BSD_2--Clause-orange.svg)](https://opensource.org/licenses/BSD-2-Clause) ![Documentation Status](https://readthedocs.org/projects/pyinterpolate/badge/?version=latest) [![CodeFactor](https://www.codefactor.io/repository/github/dataverselabs/pyinterpolate/badge)](https://www.codefactor.io/repository/github/dataverselabs/pyinterpolate)

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**version 1.0.3**

![Logo](pyinterpolate-banner.png)
![Logo](https://raw.githubusercontent.com/DataverseLabs/pyinterpolate/refs/heads/main/pyinterpolate-banner.png)

## Important notice

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With Pyinterpolate you can analyze and transform aggregated data. Here is the example of spatial disaggregation of areal data into point support using Poisson Kriging:

![Example use case](fig1_example.png)
![Example use case](https://raw.githubusercontent.com/DataverseLabs/pyinterpolate/refs/heads/main/fig1_example.png)

## Status

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