What Is a GeoDataCube?
A GeoDataCube merges several geospatial files into a topological structure, called a partition, that unifies these data elements together allowing for real-time analysis across multiple input data sources. Over 250 input formats are supported.
The mathematical framework underlying GeoDataCube generalizes exceptionally well and can be used to compute highly complex spatial relationships between input elements and any geometric combination of input elements in real-time.
Chief Scientist Insight
Interested in learning more about Paper Crane’s patent-pending GeoDataCube technology that powers our geospacial data analysis products? Fill out the form above to download our Founder and Chief Scientist David Berthiaume’s technical notes and insight.
Paper Crane’s Geospatial Intelligence Technology Has Been Recognized by:
Transforming Spatial Data
The GeoDataCube’s patent-pending partitioning and recursive subdivision algorithm transforms spatial data into a clear mathematical representation.
Automated Machine Learning
Enables real-time spatial data exploration, analysis, automated machine learning, and automated deep learning on heterogeneous sets of geospatial data.