TFInterpy 1.1.1

A high-performance spatial interpolation Python package. It contains IDW (Inverse Distance Weighted), SK (Simple Kriging), OK (Ordinary Kriging) algorithms, and visualization tools based on QT and VTK.

TFInterpy

TFInterpy is a Python package for spatial interpolation. A high-performance version of several interpolation algorithms is implemented based on TensorFlow. Including parallelizable IDW and Kriging algorithms.

Link to our paper

TFInterpy: A high-performance spatial interpolation Python package
(https://doi.org/10.1016/j.softx.2022.101229)

Performance comparison (unit: second)

Grid size	GeostatsPy-OK	PyKrige-OK	TFInterpy-OK	TFInterpy-TFOK(GPU)	TFInterpy-TFOK(CPU)
1x104	23.977	1.258	0.828	2.070	0.979
1x105	230.299	12.264	8.140	6.239	2.067
1x106	2011.351	121.711	82.397	45.737	11.683
1x107	2784.843	1250.980	849.974	452.567	112.331

Screenshots

Snapshot of GUI tool.

Requirements

Notice! You may do not need to install all dependencies. TFInterpy is available on pip. 

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Minimum usage requirements：

Python 3+, Numpy, SciPy

TensorFlow based algorithm:

TensorFlow 2, Keras

GSLIB file support:

Pandas

3D visualization:

VTK

GUI Tool:

PyQT5