geospatial data and key characteristics of geospatial data analysis and science
TRANSCRIPT
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© 2016 Open Geospatial Consortium
Geospatial Data and Key Characteristics of Geospatial Data
Analysis and Science: The Way Forward
Luis Bermudez, Ingo SimonisOpen Geospatial Consortium
[email protected] 13, 2016 Denver, CO
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OGC®
Structure of the Talk
• Problem• Standards• Challenges
© 2016 Open Geospatial Consortium
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OGC®
Where is Katrina Going?
© 2016 Open Geospatial Consortium
Prediction: 1 day before first landing (Aug 24 , 2005)
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OGC®
Where is Katrina Going?
© 2016 Open Geospatial Consortium
1st landing Keating Beach
Hurricane status
85 mph
Seems it is going to FloridaPanhandle
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OGC®
Where is Katrina Going?
© 2016 Open Geospatial Consortium
Moved to the Louisiana coast
Hit Bay St. Louis, Aug 29, 2005 as Category 3
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OGC®
Who was involved?
• Computer Scientist• Web Graphic Designers• Geospatial Analysts• Coastal Inundation Scientist• Atmospheric Scientist• Emergency Responders• ...
© 2016 Open Geospatial Consortium
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OGC®
Distributed Coastal Laboratory (2009)
A cyber-enabled virtual organization of scientists, sensor networks, forecast models, and computing resources to advance understanding of coastal phenomena and enable transformational science
© 2016 Open Geospatial Consortium
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OGC®
1. NHC produces advisory
2. UF produces
winds
5. LSU and TAMU
archive the data
4. Data is catalogued
at UAH
6. OpenIOOS displays
data
3. RENCI, BIO, VIMS, UF run
coastal models
Coordinated community with
agreed agreementson formats and
interfaces
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OGC®
Zhao, Peisheng December 31, 2010IGI Global
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OGC®10
Web Map Service
Web Coverage Service (netCDF)
WebFeature Service (GML)
Sensor Observation Service
Catalog Services for the Web
OGC Stan
dards
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OGC®
Open Geospatial Consortium
534 volunteer organizations
6905 portal users
More than 60 standards
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OGC®© 2016 Open Geospatial Consortium
OGC Standards
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OGC®© 2016 Open Geospatial Consortium
Domain Working Groups
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OGC®
Tests and certifications
Currently851 implementations203 compliant products
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OGC®
Trends
• Big Data• Cloud Computing• Crowdsourcing• Internet of Things• ..
© 2016 Open Geospatial Consortium
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OGC®© 2016 Open Geospatial Consortium
Earth Science Data Analytics
• Process of examining, preparing, reducing, and analyzing large amounts of spatial (multi-dimensional), temporal, or spectral data encompassing a variety of data types to uncover patterns, correlations and other information, to better understand our Earth.
• This encompasses: – Data Preparation – Preparing heterogeneous data so that they can be jointly
analyzed– Data Reduction – Correcting, ordering and simplifying data in support of
analytic objectives– Data Analysis – Applying techniques/methods to derive results
Source: Earth Science Information Partners (ESIP), July 2016
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OGC®
Current Challenges
1. Supporting rich queries and processes 2. Enable semantic Interoperability3. Advance use of standards for big data and cloud
environments to support geospatial analysis and scientific communities
© 2016 Open Geospatial Consortium
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OGC®
Supporting Rich Queries
© 2016 Open Geospatial Consortium
Get me dry places in Australia that have beenalways dry on the last 10 years.
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OGC®
WMS Queryhttp://myserver/wms?
VERSION=1.3.0&REQUEST=GetMap&SERVICE=WMS&LAYERS=Dry & STYLES=&CRS=..&BBOX=…&WIDTH=400&HEIGHT=300&FORMAT=image/png&BGCOLOR=0xffffff&TRANSPARENT=TRUE
© 2016 Open Geospatial Consortium
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OGC®© 2016 Open Geospatial Consortium
WFS Queryhttp://myserver/wfs?
SERVICE=WFS&REQUEST=GetFeature&VERSION=1.1.0&
typeName=wet_dry_areas& FILTER= <Filter
xmlns="http://www.opengis.net/ogc"> <PropertyIsLike> <PropertyName>ss_cat</PropertyName> <Literal>Dry</Literal>
</ PropertyIsLike > </Filter>
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OGC®
Query - Resource Oriented
© 2016 Open Geospatial Consortium
HTTP/1.1 200 OK Content-Type: application/hal+json
{ "_links": { “self": { "href": "/dry" }, “map”: { "href": ”dry/map" }, “vector”: { "href": ”dry/vector" } }, “area_sq_km”: 1,400,000, “description”: “Dry places in Australia for the last 10 years“ }
GET /dry HTTP/1.1Host: geos-australia.orgAccept: application/hal+json
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OGC®
OGC Advancing REST
© 2016 Open Geospatial Consortium
The purpose of the RESTful Service Policy Standard Working Group is to create requirements, recommendations and examples for the creation of OGC standards for RESTful Web Services. The result of this work will be formalized in a Policy Standard for the structure and content of the implementation of geospatial standards embodying a uniform approach to RESTful principles
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OGC®
OGC Advancing REST
© 2016 Open Geospatial Consortium
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OGC®
Semantic Issue
© 2016 Open Geospatial Consortium
5.2 oz of cinnamon porridge
+149.4 gr of sweet
oatmeal= ?
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OGC®
Two services via WFS using their own model
© 2016 Open Geospatial Consortium
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OGC®
Conflation
Target Dataset
Source Dataset
Extract similar features (geometries and location)
Resolve attribute similarity
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OGC®
TESTBED 10
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OGC®
Testbed 11 – Semantic Enablement of Social Data
© 2016 Open Geospatial Consortium
Social MediaAPIsSilos
GeoSPARQL Linked Data REST API
Web AccessLayer
Human-orientedClients
. . .
OGC Interfaces for Social MediaSocial Media Analysis WPS
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OGC®
Big Geo Data
© 2016 Open Geospatial Consortium
High Velocity Ingest
Geospatial Databases
Spatial Modeling
ObservationSources
Users and consuming
apps
GeoAnalytics, Machine Learning
Entity-oriented Spatial-temporal
analytics
Grid-oriented Spatial-temporal
analytics
Feature Fusion
Remote sensed data processing
Machine Learning
Array databases
NoSQLdatabases
Graphdatabases
Built environment
models
Integrated environmental
models
Modeling and simulation
IoT Message Streaming
Social Media Message
Processing
ETL Stream processing using
RDF
Wide Area Motion Imagery
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OGC®
Classification Service
© 2016 Open Geospatial Consortium
OGC Testbed 10 – Cloud Computing
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OGC®© 2016 Open Geospatial Consortium OGC Testbed 13 (2016-17)
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OGC®
Location Powers: Big Data
• Tuesday 20th September• Orlando, Florida
© 2016 Open Geospatial Consortium
#LPBigData
http://www.opengeospatial.org/event/1609tc
http://www.locationpowers.net/
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OGC®
Take Home Message
© 2016 Open Geospatial Consortium
Agreements (standards) help solve complex problems across communities
Technology is advancingUser can do more queriesLet’s make them simpler
Let’s advance further semantic interoperability solutions
Let’s advance Big Data/ Cloud geospatial analytics architectures using open standards
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OGC®© 2016 Open Geospatial Consortium
The Open Geospatial Consortium
Open Geospatial Consortiumwww.opengeospatial.org
OGC Standards - freely available www.opengeospatial.org/standards
OGC on YouTubehttp://www.youtube.com/user/ogcvideo
Luis Bermudez@berdez