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Thursday, February 27 • 3:40pm - 4:30pm
Spatial-temporal Analysis with Oracle Spatial and Python

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Python is hugely popular for data analysis, including geospatial data. The ecosystem of specialized geospatial Python libraries continues to grow and evolve, providing a powerful toolkit for developers to supplement the spatial features of Oracle Spatial and Graph. Spatial-temporal analyses uses specialized algorithms to answer questions such as 'Is the change over time in traffic accidents for an area related to the change over time in nearby areas?', and 'Are historical traffic accidents clustered in both location and time?'. Spatial-temporal analyses then uses these results to predict the likelihood of potential future outcomes. This session will cover the basics of using Python with Oracle Spatial and then demonstrate a spatial-temporal use case based on a historical dataset of nationwide traffic accidents.
Speakers
avatar for Siva Ravada

Siva Ravada

Senior Director of Engineeting, Oracle, USA
Siva manages the development team for Oracle’s spatial technologies. He is one of the founding members of the development of Spatial technologies in Oracle since the Oracle7 release. He holds numerous patents, has several journal and conference publications, and authored a book... Read More →
avatar for David Lapp

David Lapp

Product Manager, Oracle
David Lapp is senior principal product manager for Oracle's spatial and graph technologies, focused on Cloud and Big Data solutions. His experience includes working as Spatial and Business Intelligence solutions specialist in Oracle's Public Sector group, where he engaged with several... Read More →

Thursday February 27, 2020 3:40pm - 4:30pm PST
Bldg 23- Rm 1740 .
  Spatial and Graph, Full Session (50 minutes) |   Artificial Intelligence and Machine Learning, Full Session (50 minutes)