Bridge the gap between geologists and data scientists
Mining companies can leverage the power of Python to work with their geological data.
Mining companies can leverage the power of Python to work with their geological data.
Using the open-access data from OpenStreetMap enables quick selection of specific features and transformation to GeoLime objects. Using their GIS digitalization makes easy the remove of inaccessible blocks.
Our powerful Python library is designed for geologists, geoscientists & data scientists, providing a comprehensive set of tools for working with geological and geospatial data.
Declustering is a common technique used in mineral resource estimation to account for spatial patterns in the data. This crucial step helps to improve the accuracy and reliability of the estimate and provides a more robust basis for decision-making..
We converted a client's script written with a famous geomodeller package to a GeoLime script. With identical functionalities, the length is divided by 20.
"I'm a science guy. I'm a geek. I love geology..." So do we.