Geospatial Data and Key Characteristics of Geospatial Data Analysis and Science

®
Geospatial Data and Key
Characteristics of Geospatial
Data Analysis and Science: The
Way Forward
Luis Bermudez, Ingo Simonis
Open Geospatial Consortium
lbermudez@opengeospatial.org
Sep 13, 2016 Denver, CO
© 2016 Open Geospatial Consortium

OGC®
Structure of the Talk
• Problem
• Standards
• Challenges

OGC®
Where is Katrina Going?
Prediction: 1 day before first landing (Aug 24 , 2005)

OGC®
1st landing
Keating
Beach
Hurricane
status
85 mph
Seems it is
going to
Florida
Panhandle

OGC®
Moved to
the
Louisiana
coast
Hit Bay St. Louis, Aug 29, 2005 as Category 3

OGC®
Who was involved?
• Computer Scientist
• Web Graphic Designers
• Geospatial Analysts
• Coastal Inundation Scientist
• Atmospheric Scientist
• Emergency Responders
• ...

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

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 agreements
on formats and
interfaces

OGC®
Zhao, Peisheng December
31, 2010
IGI Global

OGC®
10
Web Map
Service
Web Coverage
Service (netCDF)
Web
Feature
Service (GML)
Sensor
Observation
Service
Catalog
Services for
the Web

OGC®
534 volunteer organizations
6905 portal users
More than 60 standards

OGC®

OGC®
Tests and certifications
Currently
851 implementations
203 compliant products

OGC®
Trends
• Big Data
• Cloud Computing
• Crowdsourcing
• Internet of Things
• ..

OGC®
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

OGC®
Current Challenges
1. Supporting rich queries and processes
2. Enable semantic Interoperability
3. Advance use of standards for big data and cloud
environments to support geospatial analysis and scientific
communities

OGC®
Supporting Rich Queries
Get me dry places in
Australia that have been
always dry on the last
10 years.

OGC®
WMS Query
http://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

OGC®
WFS Query
http://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>

OGC®
Query - Resource Oriented
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/1.1
Host: geos-australia.org
Accept: application/hal+json

OGC®
OGC Advancing REST
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

OGC®
OGC Advancing REST

OGC®
Semantic Issue
5.2 oz of
cinnamon
porridge
+
149.4 gr of sweet
oatmeal
= ?

OGC®
Two services via WFS using their own model

OGC®
Conflation
Target Dataset
Source Dataset
Extract similar features
(geometries and location)
Resolve
attribute
similarity

OGC®
Testbed 11 – Semantic Enablement of Social Data
Social
Media
APIs
Silos
GeoSPARQL
Linked Data
REST API
Web
Access
Layer
Human-
oriented
Clients
. . .
OGC Interfaces for Social Media
Social Media
Analysis WPS

OGC®
Big Geo Data
High Velocity
Ingest
Geospatial
Databases
Spatial
Modeling
Observation
Sources
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
NoSQL
databases
Graph
databases
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

OGC®
Classification Service
OGC Testbed 10 – Cloud Computing

OGC®
Location Powers: Big Data
• Tuesday 20th September
• Orlando, Florida
#LPBigData
http://www.opengeospatial.org/event/1609tc
http://www.locationpowers.net/

OGC®
Take Home Message
Agreements (standards)
help solve complex
problems across
communities
Technology is advancing
User can do more queries
Let’s make them simpler
Let’s advance further
semantic interoperability
solutions
Let’s advance Big Data/
Cloud geospatial
analytics architectures
using open standards

OGC®
The Open Geospatial Consortium
www.opengeospatial.org
OGC Standards - freely available
www.opengeospatial.org/standards
OGC on YouTube
http://www.youtube.com/user/ogcvideo
Luis Bermudez
@berdez
lbermudez@opengeospatial.org

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