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Page 1 Computational Analytics
ESRI User Conference
Smart Search and Insights for GIS
Page 2 Computational Analytics
EVOLUTION OF DATA
Page 3 Computational Analytics
Big Data
Big Data
Structured –Databases,
Spreadsheets etc
Unstructured –Docs, Images, Videos, Social
Media
Spatial – Spatial layers
Page 4 Computational Analytics
Spatial Big Data
All types of data objects or elements that havegeographical information present
Enables the global finding and locating of individuals ordevices
Also known as geospatial data, spatial information,geographic information
(Partially based on Dasgupta, 2013)
Page 5 Computational Analytics
Sources of Spatial Big Data
GPS GPS-enabled devices Satellite remote sensing Aerial surveying Radar Lidar Sensor networks Digital cameras Location of readings of RFID IOTs
(Partially based on Dasgupta, 2013)
Page 6 Computational Analytics
Five V’s of Spatial Big Data
Volume Variety Velocity
Veracity Value
Page 7 Computational Analytics
Spatial Big Data Analytics
Track and correlate the location of items in very precise ways Use geospatial data
to fuel analytics in the real world GIS tools run
operations that aggregate terabytes and more of spatial information, run analysis, and visualize results as maps.
Page 8 Computational Analytics
Data-Driven, Real-Time Science for Spatial
New types of geospatial data generated continuously at a very high speed; Need to look at the incoming data on the fly and make decisions in time Need interactive (real-time) or dynamic analysis on geospatial big
data, such as complex event processing and spatial online analytical processing
Data-intensive hypothesis generation (via spatial statistics, machine learning, spatial data mining, and geo-visual analytics)
Page 9 Computational Analytics
Finding Spatial Data is Complicated
• Metadata is required for GIS search, but while preached, it’s rarely practiced
• Complex file formats are not understood by search or generic data management tools
• Critical relationships between items are not maintained
• Content is scattered across repositories and duplicated
Page 10 Computational Analytics
Spatial Big Data Analytics Platform
CEP = complex event processing, SOLAP = spatial online analytical processing. ETL = extract, transform and load, UI/UX = user interface/user experience design.
Search and Index
Page 11 Computational Analytics
Applications of Spatial Big Data Search and Analytics
Climate modeling and analysis Location analytics Retail and E-commerce Intelligence gathering Terrorist financing Aviation industry Disease surveillance Disaster response Political campaigns and elections Banking Insurance and Fraud analysis
Page 12 Computational Analytics
STATWORKS SOLUTION
SMART SEARCH AND INSIGHTS FOR GIS
Page 13
TTIBCO SPOTFIRE Analytics Applications
Solution Overview
Analytics
Solution Gallery
ContentMiner
Studio
Analyze Applications
ESRI ArcGIS Web and Apps
Page 14 Computational Analytics
Use Case Study
Oil and Gas Enterprise Search and Workflow Management Providing easy to use search capabilities across documents, GIS,
and subsurface data stores allows users to readily find relevant data
Providing a workflow application helps propagate standard workflows, increases project visibility, and support key business decisions
Linking data and documents to workflow tasks provides an auditable record of key assumptions and encourages reuse of prior work
Linking context based visualizations and analysis to the search and workflow apps supports efficient decision making
Page 15 Computational Analytics
Use Case Study
Oil and Gas Enterprise Search and Workflow Management
Page 16 Computational Analytics
ROYAL MALAYSIANCUSTOM DEPARTMENT
Search
LOGIN
MISSIONCollect revenue and provide
trade facilitation through enforcement of and
compliance with applicable law to spur economic
growth, maintain national security and public welfare
MALAYSIAN GOVERNMENT AGENCYSEARCH
VISIONA World Class Administration
Page 17 Computational Analytics
Searching via Map (Geo-Location)
Documents that are geospatially tagged and have bounding boxes.
Page 18 Computational Analytics
Searching via Text
Search through file path, title and content.
Page 19 Computational Analytics
Locations Example, Folder
Page 20 Computational Analytics
Locations Example, RSS Feed
Page 21 Computational Analytics
Saved Searches Example, Duplicate Data
Example, Duplicate Data that uses the MD5 algorithm to compare files bit by bit, regardless of path and title.
Page 22
Voyager Extension - ArcGIS Desktop
Page 23
Voyager Extension - ArcGIS WebApps
Page 25
Example : Spotfire with ArcGIS map layers25
Page 26
Spatial Big Data Analytics using ArcGIS and Spotfire–Example of Obama vs. Romney Tweets
Example of Spatial Big Data using social media is a live feed of number of tweets with “Obama” keyword and tweets with “Romney” keyword for largest 30 U.S. cities from Oct. 14-Nov 3, 2012.
There is a major shift towards Obama during this two week interval, which is more prominent in the northeast.
Page 27 Computational Analytics
Smarter and Faster Spatial Analytics with IOT
Page 28 Computational Analytics
Summary: Big Data, Analytics, & GIS28
A technical, algorithmic, and software base of the intersection of big data, analytics, and GIS has been set.
Since the preponderance of data is, or can be, geo-referenced, the size of spatial big data is vast.
Analytics are needed since the extent of map visualization is overwhelming.
Page 29 Computational Analytics
THANK YOU
For further information, please contact us at
STATWORKS GROUP3 Two Square, Suite A-28-06
No. 2 Jalan 19/1, 46300 Petaling JayaSelangor Darul Ehsan, MALAYSIA
Phone : +60379555288Fax : +60379555388
Email : [email protected]://www.statwks.com