Welcome to Analytics and Data Summit 2020.
  • Sessions appear in the color of their primary track and can be filtered using Products on the right
  • Use the Search bar for more flexibility
See this link for hints on how to search the schedule
Back To Schedule
Thursday, February 27 • 3:40pm - 4:30pm
Spatial-temporal Analysis with Oracle Spatial and Python

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
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.

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 .