Supported Data Types
Discover the wide range of geological and exploration data types automatically recognized and processed by Mineflow.
Overview
Mineflow's AI engine automatically identifies, categorizes, and processes a wide variety of data types commonly used in mineral exploration and mining. Our system understands the unique characteristics of each data type and how they relate to one another, enabling powerful analysis and visualization capabilities.
Below is a comprehensive list of all data types currently supported by our platform. If you have data that doesn't fit these categories, our system will classify it as "Other" and still attempt to extract useful information.
Geological Data Types
Basic geological features, mappings, and natural formations.
Rock outcropping that protrudes from the ground. Represented as polygons with string classification.
Expert labeled geological maps of general rock structures, formations, and periods. Represented as polygons with string classification.
Lidar or contours or topology or elevation maps of an area. Represented as lines with scalar values.
Locations of known, existing or historical mines on a map.
Locations (x,y) of historical mineral occurrences, essentially drill data projected into 2D.
Automatic Data Type Recognition
Mineflow's AI system automatically recognizes these data types regardless of how they're stored or formatted. This means you don't have to manually label or organize your data—our system will:
- Identify data types across various file formats, from spreadsheets to PDFs to images
- Extract relevant attributes specific to each data type
- Connect related data of different types that refer to the same locations or features
- Prepare data for visualization in appropriate formats (maps, 3D models, cross-sections)
This automated recognition saves significant time in data preparation and ensures that all your information is properly categorized for subsequent analysis and decision-making.