· Posts
Pyarrow is great!
Pandas will integrate Apache Arrow in its 2.0 release. We compared the time needed to export a large block model to an open format.
Tag: geolime
· PostsBridge the gap between geologists and data scientists
Mining companies can leverage the power of Python to work with their geological data.
· PostsGIS Selection & Polygon Exclusion
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.
· PostsGet ready to take your analysis to the next level with GeoLime 1.1.0!
Our powerful Python library is designed for geologists, geoscientists & data scientists, providing a comprehensive set of tools for working with geological and geospatial data.
· PostsIntroducing declustering for mineral resource estimation
By using statistical techniques to identify and correct patterns of spatial dependence, declustering can help you improve the reliability and accuracy of your resource estimation, and take your mining projects to the next level.
· PostsSpatial Data Declustering in Python
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..