JS.Geo 2019: On Track -- How to build map-centric web applications which support the visualization and analysis of real-time and historical data

Satellites, navigation receivers, mobiles devices. . . geo-referenced data on human
activity captured by sensors is growing in volume. Configurable and extensible
web apps support some fascinating user scenarios through visualization of real
time tracking data and analysis of historical tracking data.

This talk presents selected aspects from the implementation of a suite of map-
centric web applications which support real-time global situational awareness in
the maritime and airspace domains.

Transcript

1. Cory Eicher JS.Geo V5 Austin, TX May 17, 2019 How to build map-centric web applications which support the visualization and analysis of real-time and historical data On Track
2. Global Situational Awareness • Moving objects • Map-centric web apps • “Stealth” web app framework
3. Our focus • Match tools to use • Perform well at scale • Stay flexible Today’s Talk Topics • Use cases • Operational (live) • Analytical (historic) • Architecture • Configuration
4. • Founded in 1989, in Charlottesville, Virginia. 2019 approx. 135 employees Company • Establish CCRi as an indispensable provider of (multi-scale) global situational awareness tools and analytics to the U.S. Government and commercial organizations. Vision • We empower decision makers by applying innovative data science, scalable software engineering, and advanced visualization to solve meaningful challenges. Mission 4 CCRi Company Overview
5. Use Cases
6. Operational Use Case: Flights • What is happening right now? • ‘Live’ data • Polling WMS layers
8. • What happened in the past • For a specific entity and/or • Within a particular geographic area • ‘Time-lapse’ data formats • Custom binary • Apache Arrow • Machine Learning output Analytical Use Case: Ship Traffic
11. Analytical: Ship Tracks
13. Analytical: Filtering via Chart Global flight data
14. Architecture
15. System Architecture A suite of tools for streaming, persisting, managing, and analyzing spatio-temporal data at scale
16. A suite of tools for streaming, persisting, managing, and analyzing spatio-temporal data at scale System Architecture
17. Vision • Build shared/reusable components • Assemble different applications Web Application Architecture Airspace Application
18. Web Application Architecture Vision • Build shared/reusable components • Assemble different applications Maritime Application
19. Web Application Architecture Vision • Build shared/reusable components • Assemble different applications Image Classification Application • Plugin architecture, but with a seamless application UX
20. Key Technologies
21. Application configuration
22. • Why? • Serve app config with map data • OGC standard • How? • Object paths • Demo Video OGC Layer Keywords
24. Wrap Up Our focus • Match tools to use • Perform well at scale • Stay flexible
25. ceicher@ccri.com @eichercory Thank You!