intrappol2D

Intrappol2D is a Python library designed for interpolating data in two dimensions. It provides a collection of algorithms to estimate values at unmeasured points based on a set of known data points. The library is particularly useful in fields such as geostatistics, image processing, and scientific visualization where spatial data analysis is crucial.

The core functionality of Intrappol2D revolves around different interpolation methods. These include nearest neighbor interpolation, where the value of the closest known point is assigned to the unknown point, and linear interpolation, which estimates values based on a weighted average of surrounding known points. More advanced techniques like inverse distance weighting (IDW) are also supported, allowing users to specify how the influence of known points decreases with distance.

Intrappol2D is built with a focus on ease of use and performance. It offers a straightforward API that allows users to load their 2D data, select an interpolation method, and generate the interpolated surface. The library is written in Python and leverages NumPy for efficient numerical operations, making it suitable for handling moderately sized datasets. Its open-source nature encourages community contributions and further development of interpolation techniques.