Embed Size (px)
Citation preview
Josh Joyner
Gregory Christakos
ArcGIS GeoEvent Server:
Visualizing Real-Time Data
analytics storage
visualization
ArcGIS GeoEvent ServerReal-Time GIS for ArcGIS Enterprise
ingestion
actuation
Apps
DesktopAPIs
Agenda:
Visualization Overview
Visualizing Stream Layers
Visualizing Features using the STBDS
Resources & Wrap-Up
1
2
3
4
1 Visualization Overview
Stream Layers vs. Feature Layers
• Stream layers subscribe to stream services to immediately visualize observations
- Does not require feature record storage, but does not support playback
• Map & Feature layers periodically poll to obtain the most current observations
- Storage requires an enterprise geodatabase (EGDB) or spatiotemporal big data store (BDS)
- Stored feature records can be retrieved and queried for playback
Stream Layer
Map LayerFeature Layer
ArcGISEnterprise
Send Features to a Stream Service subscribe (push)
poll (pull)
GeoAnalyticsServer
Add a Feature to a BDS
Update a Feature in a BDS
spatiotemporalbig data store
Add or Update a Feature
EGDBGeoEvent
Server
Apps
Desktop
APIs
Stream Service
Map ServiceFeature Service
Stream Layers – Advantages
• More responsive and more efficient than feature layers
• Display data records immediately and refresh automatically
• Data is sent to the client only once
Stream Layer
PUSHWeb
Socket
ArcGIS Server
Feature service
GETHTTP
FeatureLayer
RESPONSE
ArcGIS Server
GeoEvent
Server
Stream service
Visualizing Stream Layers2
Adding a stream layer to a web map
• Navigate to ‘My Content’
and select the layer item
• Note that stream layers
have a different icon
than feature layers
• Select the content item
and open it in the web
map viewer
Adding a stream layer to a web map
Adding a stream layer to a web map
You can also:
• open the ArcGIS REST
Services Directory
• navigate to the stream
service’s web page
• copy the service’s URL
Adding a stream layer to a web map
https://caramon.esri.com/server/rest/services/AVL-Broadcast/StreamServerPaste the URL into the text
field as illustrated here:
Adding a stream layer to an ArcGIS Pro Map
• Add an Enterprise portal or ArcGIS
Online content item
• Add an item from a server connection
• Add data using a local path or URL
Adding a stream layer to an ArcGIS Pro Map
• Set Renderer
- Single Symbol
- Unique Values
- Graduated Symbols
- Graduated Colors
• Current / Previous Observations
• Feature Labeling
• Open Attribute Table
• Vary by attribute
- Transparency
- Rotation
- Size / Color
Visualizing
Stream Layers
3 Visualizing Features
Visualization of observational data
• Visualize discrete feature records while inspecting feature-level attributes
Visualization of observational data
• Visualize on-the-fly aggregations while inspecting feature-level attributes
• Feature thresholds specify when layers switch from feature view to an aggregation
Visualization of observational data
• Visualize custom aggregations based on feature-level attribute statistics
Visualization of observational data
• Choose to display data using content-dependent or scale-dependent rendering
Visualization of observational data
• Replay historic observations for either discrete features or aggregations
Spatiotemporal big data store
• Aggregation styles support on-the-fly aggregation using
- geohash
- squares
- pointy / flat hexagons
- pointy / flat triangles
You can delete aggregation styles you do not want or intend to use
Spatiotemporal big data store
• A geohash is a way of encoding latitude and longitude values as strings
• It divides the world into a grid of 32 cells (four rows and eight columns)
• Each cell can be further divided into 32 cells to provide 12 levels of detail (LOD)
Spatiotemporal big data store
• The spatiotemporal big data store continuously updates
a geohash spatial index as data is written into a dataset
lodType=geohash&lod=9
geohash aggregation (based on a geohash index)
Spatiotemporal big data store
• The spatiotemporal big data store can continuously update
a square spatial index as data is written into a dataset
geohash aggregation (based on a geohash index) square aggregation (based on a square index)
Spatiotemporal big data store
• The spatiotemporal big data store can continuously update
spatial indices for pointy and flat triangles as data is written into a dataset
flat triangle aggregation (based on a flat triangle index)pointy triangle aggregation (based on a pointy triangle index)
Spatiotemporal big data store
• The spatiotemporal big data store can continuously update
spatial indices for pointy and flat hexagon as data is written into a dataset
flat hexagon aggregation (based on a flat triangle index)pointy hexagon aggregation (based on a pointy triangle index)
Spatiotemporal big data store
• Additional indexes created and maintained include:
- A temporal index on the time field
- An inverted index on each attribute field
Spatiotemporal big data store
• Map service aggregation supports point, polyline, and polygon feature geometry
Aggregations are computed using the centroid for non-point geometries
Spatiotemporal big data store
• Aggregation settings are specified when
creating a BDS feature record set
• They can be updated by clicking to edit a
published BDS map service
Visualizing
Features
4 Resources & Wrap-Up
ResourcesSelf-Paced Training and Resources
• ArcGIS GeoEvent Server resources
- http://enterprise.arcgis.com/en/geoevent
- Updated Documentation
- Installation Guides
- System Requirements
- Tutorials
• Blogs and discussions on the forum
- http://links.esri.com/geoevent-forum
• Video recordings of technical workshops
- http://www.esri.com/videos
• StreamLayerAPI help:
– 4.x: https://developers.arcgis.com/javascript/latest/api-reference/esri-layers-StreamLayer.html
– 3.x: https://developers.arcgis.com/javascript/3/jsapi/streamlayer-amd.html
• Sample stream services with simulated data:
– https://geoeventsample1.esri.com:6443/arcgis/rest/services
• Sample applications on GitHub:
– https://github.com/Esri/aggregation-viewer-server-map-service
• Tutorials:
– http://links.esri.com/geoevent-tutorials
• Discussions & Blogs (on GeoNet):
– https://geonet.esri.com/community/gis/enterprise-gis/geoevent/content
Sample Applications & Tutorials
Helpful Links
Real-Time & Big Data Technical Workshops
• Tuesday
– 1:45 - 2:45 ArcGIS Analytics for IoT: An Introduction
– 3:00 - 4:00 ArcGIS GeoEvent Server: An Introduction
• Wednesday
– 11:00 - 12:00 ArcGIS Analytics for IoT: An Introduction 2nd offering
– 1:30 - 2:30 ArcGIS GeoEvent Server: An Introduction 2nd offering
– 2:45 - 3:45 Real-Time and Big Data GIS: Best Practices Only Offering
– 4:00 - 5:00 ArcGIS GeoEvent Server: Applying Real-Time Analytics Only Offering
– 5:15 - 6:15 ArcGIS GeoEvent Server: Visualizing Real-Time Data Only Offering
Print Your Certificate of Attendance
Print Stations Located in 150 Concourse Lobby
Tuesday12:30 pm – 6:30 pm
Expo
Hall B
5:15 pm – 6:30 pm
Expo Social
Hall B
Wednesday10:45 am – 5:15 pm
Expo
Hall B
6:30 pm – 9:30 pm
Networking Reception
Smithsonian National Museum
of Natural History
Download the Esri
Events app and find your event
Select the session
you attended
Scroll down to
“Survey”
Log in to access the
survey
Complete the survey
and select “Submit”
Please Share Your Feedback in the App
Josh Joyner
ArcGIS GeoEvent ServerProduct Manager
Gregory Christakos
ArcGIS GeoEvent ServerProduct Engineer
Comments?
Questions?
