GeostatsPy

GeostatsPy is an open-source Python package primarily focused on spatial data analytics and geostatistics. It was developed to provide a usable and accessible platform for teaching and applying geostatistical concepts, addressing the need for modern, open-source tools in the field.

The package originated from a significant effort to re-implement the classic GSLIB (Geostatistical Library) functions from Fortran into Python. This initiative aimed to make powerful geostatistical algorithms available to students and practitioners in a more contemporary programming environment, specifically avoiding the complexities of older executables and parameter files.

Since its inception, GeostatsPy has expanded significantly, now offering many additional methods beyond its GSLIB origins. Recent updates include 3D Sequential Indicator Simulation (SISIM) and 3D Sequential Gaussian Simulation (SGSIM), demonstrating its continuous development and utility for complex spatial modeling challenges. The project is led by Prof. Michael Pyrcz and is a valuable resource for anyone working with spatial data.