RealTime 3 D GIS Making Scenes Come Alive

Real-Time 3 D GIS: Making Scenes Come Alive Morakot Pilouk, Ph. D. Senior Software Developer, Esri mpilouk@esri. com @mp. Esri

Agenda 1 3 D for Arc. GIS 2 Real-Time GIS 3 Authoring static 3 D Scene 4 Making 3 D Scenes Come Alive 5 Real-Time 3 D Visualization 6 Conclusions

1 3 D for Arc. GIS

3 D Across the Platform A new way of working in 3 D

3 D across the Esri product family Arc. GIS Pro Powerful 2 D/3 D desktop authoring and data management 3 D Analyst Rich analysis for advanced 3 D workflows City. Engine Advanced editing tool for Urban Designers Arc. GIS for Server Scalable 2 D/3 D enterprise content distribution and geoprocessing Arc. GIS Online Content and services for sharing ideas in 2 D and 3 D Arc. GIS Earth Easy-to-use 3 D data exploration for Enterprise users Arc. GIS Runtime Developer tools for 2 D and 3 D custom solutions Arc. GIS Marketplace 3 rd party geospatial apps and data for the enterprise

3 D Application Development 3 D Runtime SDK Java. Script (Web. GL) • Full 3 D Runtime functions • Pure browser-based • High performance • No plugin • Large data set • Rapidly maturing • Machine Native code • Acceptable performance • Mobile and desktop • Works on most platforms • Multiple codebases • One codebase

Arc. GIS API for Java. Script 4. 0 • One API for 2 D and 3 D • Elevation • 3 D symbology • Camera manipulation • Animation • Lighting/shadow

Supported Real-Time Data • Stream. Layer (from Geo. Event Stream Service) – Java. Script API 4. 0 • KML

2 Real-Time GIS

Real-Time GIS and The Internet of Things Enable real-time spatial reasoning • Spatial reasoning is needed amongst the Internet of Things • Performing continuous analytics closer to the things can improve their ability to sense • When meaningful patterns are found things can send updates to those who need it Gateways Connected Cars Connected Buildings Connected Environment Geo. Event Wearables Smart Agriculture ws: // Connected Retail Connected Schools Arc. GIS Server

Observation Data Defined • An observation is a recording of states of real world objects at a location and a specific moment in time. Observations are immutable, they happen and are not editable - Observations can be replayed over space & time - Moving observations are identifiable by a unique attribute, known as a TRACK_ID - Space & Time Observations are like actors in a filmstrip Tracks 1 3 1 AM 3 1 PM Observations can be shown at a specific time 3 2 2 2 Moving observations can be identified by a unique attribute Moving observation illustration for two tracks over space (x, y) and time (t)

Real-Time GIS Integration and exploitation of streaming data Web Device Desktop Apps • Integrates real-time streaming data into Arc. GIS • Performs continuous processing and real-time analytics • Sends updates and alerts to those who need it where they need it Access Geo. Event Extension Arc. GIS Server Services

Real-Time GIS Web Device Desktop Arc. GIS 10. 4 • Can ingest higher velocity real-time data into Arc. GIS. • Observations CAN now be stored in a Big Data Store. • Can visualize high velocity and volume data as an AGGREGATION, - as discrete FEATURES, - live & HISTORICALLY. Apps 10. 4 Stream Layer 3, 000 e/s KML Visualization 4, 000 e/s Live and Historic Aggregates & Features Live Features Enhanced Map and Feature Service Stream Service - • Ingestion Geo. Event Visualization CAN scale. Spatiotemporal Big Data Store 4, 000 e/s Arc. GIS Server 10 s of thousands of e/s Arc. GIS Spatiotemporal Big Data Store

3 Authoring Static 3 D Scene

Creating Scene Services

Publishing a Scene Service

4 Making 3 D Scene Comes Alive

Stream services vs. traditional feature services Two patterns of Real-time GIS • Feature layers pull from feature services - • Web apps poll to get periodic updates Stream layers subscribe to stream services - Web apps subscribe to immediately receive data - Low latency and high throughput Your Applications feature layers Polling (Pull) Arc. GIS Server Update a Feature Add a Feature Map Services Feature Services Geo. Event Extension EGDB Stream Services Send Features to a Stream Service Feature Layer Stream Layer

Stream services vs. traditional feature services Two patterns, two important differences • Feature services persist their data in a Geodatabase • Stream services broadcast their data without first persisting the data Arc. GIS Server feature layers Update a Feature Add a Feature Geo. Event Extension Map Services Feature Services Polling (Pull) Your Applications EGDB Stream Services Send Features to a Stream Service Feature Layer Stream Layer

Stream Layer What is it? • A layer in the Javascript API - • esri/layers/Graphics. Layer Available since version 3. 6 esri/layers/Feature. Layer Draws data on map using client-side graphics RESPONSE Graphic § • • Geometry Attributes Symbol Stream Layer Feature Layer Graphics Layer esri/layers/Stream. Layer GET HTTP Feature service Web Socket PUSH Geo. Event Extension Arc. GIS Server

Support for stream services in the 10. 3 and 10. 3. 1 product releases What can I use to consume stream services? • Arc. GIS Online and Portal for Arc. GIS Web Maps • Arc. GIS Online and Portal for Arc. GIS web application templates • Web applications built using Web App. Builder • Your own web apps that use the Arc. GIS API for Java. Script

KML Service How to enable KML service • Not available out-of-box! • Obtain the KML Connector for Geo. Event on Geo. Event Gallery (10. 2. x) http: //www. arcgis. com/home/item. html? id=8 ddf 65 e 2 d 9894 d 37 ae 19856671392 c 45 • Obtain source code from Git. Hub (updated to 10. 4) and build it https: //github. com/Esri/kml-for-geoevent • Deploy the jar to Geo. Eventdeploy folder • Create Output

Demo Publishing Real-Time Services

5 Real-Time 3 D Visualization

3 D Visualization Techniques Keeping up the 3 D display performance • 3 D scene contains continuous scale - depending on the positions of viewer and target • Use high LOD 3 D symbol to represent objects close to the viewer • Use low LOD symbol for objects that are further away from the viewer • - Billboard 2 D graphics - Simple geometric shape (e. g. spheres) Remove objects that are too close or too far from the scene - Use view volume culling - Use fog (particle system)

Demo Visualization Techniques

KML on Arc. GIS Explorer

KML on Arc. GIS Earth (1. 2)

Demo 3 D Los Angeles Buses

Demo 3 D Seattle Buses

Demo Esri Real. Time 3 D Apps

Demo 3 D Windmills in motion

Demo 3 D Vehicles

Demo 3 D Flights

6 Conclusions

Conclusions • Time enabled 3 D applications for mobile and web can be developed using Arc. GIS components - 3 D Web Scene, Arc. GIS Explorer, Arc. GIS Earth - Geo. Event to handle real-time data - Java. Script API for Arc. GIS version 4 • Visualization of large volume of data in 3 D needs certain techniques for good performance • Java. Script API version 4 allows external renderer using 3 rd party libraries (e. g. Three. js)

Who do you want to be?

Real-Time GIS Other sessions • Real-Time GIS: Geo. Event Extension Tue 10: 15 -11: 30 am, Room 33 A Wed 10: 15 -11: 30 am, Room 14 B • Real-Time GIS: Leveraging Stream Services Tue 8: 30 -9: 45 am, Ballroom 06 D Wed 8: 30 -9: 45 am, Hilton Sapphire Ballroom A/D • Real-Time GIS: Applying Real-Time Analytics Tue 1: 30 -2: 45 pm, Room 14 A Wed 10: 15 -11: 30 am, Room 15 B • Real-Time GIS: Archiving & Visualizing Observation Data Wed 10: 15 -11: 30 am, Room 08 Thu 10: 15 -11: 30 am, Room 07 A/B • Real-Time GIS: Best Practices Thu 8: 30 -9: 45 am, Room 14 A • Real-Time GIS: The Internet of Things Wed 1: 30 -2: 45 pm, Room 05 B • Road Ahead: Real-Time GIS Thu 1: 30 -2: 45 pm, Room 10 • Real-Time 3 D GIS: Making Scenes Come Alive Wed 3: 30 -4: 15 pm, Demo Theater 5 Thu 11: 30 am-12: 15 pm, Demo Theater 5 • Real-Time GIS: Case Studies Tue 8: 30 -9: 45 am, Room 29 C

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Questions / Feedback? To learn more: http: //links. esri. com/geoevent https: //links. esri. com/geoevent-forum Morakot Pilouk, Ph. D. Senior Software Developer, Esri mpilouk@esri. com @mp. Esri