arcgis geoanalytics server: an introduction · arcgis geoanalytics server uses the power of...
TRANSCRIPT
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ArcGIS GeoAnalytics Server:
An IntroductionSarah Ambrose and Noah Slocum
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Agenda
• Overview of GeoAnalytics
• Analysis
• Data Management
• Setup and Administration
• Questions!
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Overview
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ArcGIS GeoAnalytics Server uses the
power of distributed computing to
quickly process and analyze large
amounts of vector and tabular data
with both spatial and temporal
components.
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Answer questions like…
• Using billions of emergency calls accumulated over
the past decade, which counties have the largest
number of calls per square mile?
• Which stationary pressure sensors in my pipe
network have experienced abnormal events in the
past 24 hours? Where are there hot spots of
abnormal events?
• Where have my delivery trucks traveled and where is
the highest density of unique delivery truck paths?
Where do delivery trucks travel the slowest?
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Powerful analyticsDistributed processing
and distributed storageRich geoinformation model
of ArcGIS Enterprise
Answer difficult questions involving large volumes of data in minutes or hours instead
of days or weeks.
Why GeoAnalytics?
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Run analysis against data that is too big for a single desktop
months weeks days hours minutes
GeoAnalytics Server | Why?
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Five Quick Facts about GeoAnalytics at 10.6.1
1. Part of ArcGIS
Enterprise (ArcGIS Server
role).
2. Can read data from existing
big data sources as well as
GIS data.
3. Distributed computing
capabilities are provided
out-of-the-box.
4. Includes a set of 18 (and
growing) analysis tools.
5. Results are stored in the
ArcGIS Data Store and can then
be used in other applications and
information products.
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Components of ArcGIS Enterprise
Portal for
ArcGIS
ArcGIS
Server
ArcGIS
Web Adaptor
ArcGIS Data
Store
Relational Tile Cache Spatiotemporal
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Can be integrated with other ArcGIS products
Insights for ArcGISData exploration & visualization
GeoEvent ServerReal-time data analysis
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Gain insight into both spatial and temporal patterns
GeoAnalytics Server | From Noise to Intelligence
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How can I interact with GeoAnalytics Tools?
ArcGIS Pro
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ArcGIS Pro
Enterprise portal
How can I interact with GeoAnalytics tools?
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ArcGIS Pro
Enterprise portal
ArcGIS API for Python
How can I interact with GeoAnalytics tools?
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ArcGIS Pro
Enterprise portal
ArcGIS API for Python
ArcGIS REST API
How can I interact with GeoAnalytics tools?
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Web GIS Layers
New Web GIS Layers
Use your layers
through Pro, Portal,
ArcGIS API for Python,
or the REST API
ArcGIS Data Store
Feature Services
ArcGIS
Relational
Data Store
ArcGIS
Spatiotemporal
Big Data Store
Big Data
File Share
Portal
for ArcGIS
GeoAnalytics Architecture | Inputs and Results
GeoAnalytics
Server
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Analysis
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Instant Interval
Analysis Overview
• Analysis capabilities patterned from ArcGIS Online Spatial Analysis
• Tools useful for big data with an emphasis on:
- Spatiotemporal analysis
- Summarization and aggregation
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Aggregate Points
Build Multi-Variable Grid
Join Features
Reconstruct Tracks
Summarize Attributes
Summarize Within
Summarize Data Find LocationsAnalyze Patterns
Use ProximityManage Data
Detect Incidents
Find Similar
Locations
Geocode Locations
Calculate Density
Create Space Time Cube
Find Hot Spots
Find Point Clusters
Create BuffersAppend Data
Calculate Field
Copy to Data Store
Overlay Layers
What types of tools does GeoAnalytics offer?
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Aggregate Points
Build Multi-Variable Grid
Join Features
Reconstruct Tracks
Summarize Attributes
Summarize Within
Summarize Data Find LocationsAnalyze Patterns
Use ProximityManage Data
Detect Incidents
Find Similar Locations
Geocode Locations
Calculate Density
Create Space Time Cube
Find Hot Spots
Find Point Clusters
Create BuffersAppend Data
Calculate Field
Copy to Data Store
Overlay Layers
What types of tools does GeoAnalytics offer?
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• Aggregate into polygons
• Aggregate into time steps
Target Features Join Features Intermediate Result Final Result
Aggregation
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• Points into bins (square or hexagon)
Aggregation into Space and Time
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• Points into Bins
Aggregation of Lightning Strikes
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• Three parameters to define a time step:
- Interval (duration of time in a step)
- Repeat (frequency of a step)
- Reference time (alignment)
• Examples:
- Hourly steps Interval: 1 hour
- Every 12th hour Interval: 1 hour Repeat: 12 hours
- Every Monday Interval: 1 day Repeat: 1 week Reference: Some
Monday
1 2 0 0 1
Interval
Repeat
Reference Time
THEN NOW
Time Stepping
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• Spatiotemporal joins
Target Features Join Features Intermediate Result Final Result
Joining Features in Space and Time
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• Reconstruct Tracks
- Summarize time-enabled points into tracks
Aggregate Points into Tracks
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• Can be used in 6 GeoAnalytics tools
Arcade Expressions
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• Append Data | Optionally used to determine how values are appended
- Append the mean($feature[“2015_Sales”], ($feature[“2016_Sales”],
($feature[“2017_Sales”]) to a field AverageSales
• Join Features | Used to specify which features should be used in a join.
- Join Features that meet the condition $target[“cost”] > $join[“annual_cost”]
• Create Buffers | Optionally used to calculate the buffer distance.
- Buffer by $feature[“Blast_Radius”] * 10
Arcade Expressions
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• Reconstruct Tracks | Optionally used to calculate the buffer distance. Can be time aware.
- Buffer by $feature[“wake”]
• Calculate Field | Use to calculate new values. Can be time aware.
- Calculate the values as the mean of the 3 previous values: mean($track.field[“speed"].history(-5, -1))
• Detect Incidents| Used to detect features that meet a certain condition. Can be time aware.
- Detect features that meet the condition: abs($feature[“temperature”] -($track.field[“temperature"].history(-1)) > 10
Arcade Expressions
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• Built to aggregate multiple datasets into one by calculating:
- Distance to nearest
- Attributes of nearest
- Summary of intersecting
- Summary within a given distance
…on one or more layers of interest
Build Multi-Variable Grid
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Build Multi-Variable Grid – Nearest Subway Station
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Build Multi-Variable Grid – Nearest Park
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Build Multi-Variable Grid – Population per Sq. Mile
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Build Multi-Variable Grid – Number of Complaints
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Data Management
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What types of data does GeoAnalytics work with?
feature tabular imagery real-time
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GeoAnalytics Server and your Data
• Use your GIS data
- Works with layers already in your Web GIS
• Use your own big data sources: big data file shares
• Output:
- Hosted feature service
- By default, results are stored in the spatiotemporal data store
- Local NetCDF file (Create Space Time Cube)
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GeoAnalytics Server and Big Data File Shares
Read directly from:
- File shares (local or network directories)
- HDFS – Hadoop Distributed File System
- Hive
- Cloud Stores
- AWS S3
- Microsoft Azure Blob container
- Microsoft Azure Data Lake
Supported file types:
- Delimited files (.csv, .tsv, .txt)
- Shapefiles
- Parquet files
- ORC files
Output:
Hosted feature layer
Input:
Big Data File Share
– references your
source data
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Registering a Big Data File Share
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Setup and Administration
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ArcGIS for Server ArcGIS Data Store
(relational and spatiotemporal)
Portal for ArcGIS ArcGIS Web Adaptor
Components Required for GeoAnalytics Server
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Hosting
Server
Portal
for ArcGIS
ArcGIS
Relational
Data Store
WA
(Server) 1. Install Portal for ArcGIS
2. Install ArcGIS Server(license as standard or advanced GIS server)
3. Install ArcGIS Data Store and register relational data store with Server
4. Install and configure Web Adaptors (WA)for Server and Portal
5. Federate Server with Portal and configure as the Hosting Server
ArcGIS for
Server
WA
(Portal)
Base Deployment(Machine 1)
Step 1: Set up a Base Enterprise Deployment
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Hosting
Server
Portal
for ArcGIS
ArcGIS
Relational
Data Store
WA
(Server)
1. Install ArcGIS Data Store
2. Configure a spatiotemporal data store with the hosting server
WA
(Portal)
Base Deployment(Machine 1)
Step 2: Install and Configure Spatiotemporal Data Store
ArcGIS Spatiotemporal Data Store (Machine 2)
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Hosting
Server
Portal
for ArcGIS
ArcGIS
Relational
Data Store
WA
(Server)
1. Install ArcGIS Server(licensed as a GeoAnalytics Server)
2. Install and configure a Web Adaptor for the Server
3. Federate the server with the Portal and configure as the GeoAnalytics server
WA
(Portal)
Base Deployment(Machine 1)
Step 3: Set up a GeoAnalytics Server
ArcGIS Spatiotemporal
Data Store (Machine 2)
GeoAnalytics
Server
WA
(GeoAnalytics)
ArcGIS GeoAnalytics
Server (Machine 3)
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Hosting
Server
Portal
for ArcGIS
ArcGIS
Relational
Data Store
WA
(Server)
WA
(Portal)
Base Deployment(Machine 1)
Deployment patterns | Simple deployment
ArcGIS Spatiotemporal
Data Store (Machine 2)
GeoAnalytics
Server
WA
(GeoAnalytics)
ArcGIS GeoAnalytics
Server(Machine 3)
Big Data
File Share
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Hosting
Server
Portal
for ArcGIS
ArcGIS
Relational
Data Store
WA
(Server)
WA
(Portal)
Base Deployment(Machine 1)
Deployment patterns | Multi-machine deployment
ArcGIS Spatiotemporal
Data Store (multi-machine)
GeoAnalytics
Server
WA
(GeoAnalytics)
ArcGIS GeoAnalytics
Server(multi-machine)
Big Data
File Share
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What can I run GeoAnalytics on?
• Supported on Windows and Linux platforms
- On-premises
- Amazon (easy to configure with Amazon Cloud formation templates)
- Azure (easy to configure with Azure Cloud Builder)
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• Base ArcGIS Enterprise deployment:
- Minimum 4 cores and 16 GB RAM
• ArcGIS Spatiotemporal Big Data Store:
- Minimum 16 GB RAM for each machine (32GB Recommended)
- Fast disk/sufficient disk space for data
• ArcGIS GeoAnalytics Server:
- Minimum 4 cores and 8 GB RAM for each machine (16GB+ Recommended)
- Sufficient temp space for compute
System Requirements
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Summary
Integrated: Works with your existing big data storage AND/OR existing GIS data.
Spatiotemporal: Tools are designed to analyze data in space and time.
Accelerated: Speeds up analytical processing time using built-in distributed compute.
Actionable: Able to crunch through large volumes of data to generate actionable insights
and intelligence. Enabling organizations to visualize & react to large amount of data in a
clearer and more meaningful way.
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Other Resources
• GeoAnalytics Technical Workshop, 2017
• Flight demo, 2017
• Financial Transaction demo, 2016
• ArcGIS GeoAnalytics Server: DevSummit 2018 FAQs
• Esri Australia blog post on maritime safety
• Esri Australia with distributed cloud computing
• Geocoding at 10.6
• Leveraging Distribute Computing
• Fix for Create Space Time Cube for 10.5 + 10.5.1
• Discovering GeoAnalytics
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Please Take Our Survey on the App
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and select “Submit”
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