arcgis geoevent server - esri.com · real-time & big data technical workshops •tuesday –...

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

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Josh Joyner

ArcGIS GeoEvent ServerProduct Manager

jjoyner@esri.com

Gregory Christakos

ArcGIS GeoEvent ServerProduct Engineer

gchristakos@esri.com

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