Golden Age of Geospatial Data Science

®
The Golden Age of Geospatial
Data Science and Engineering
Geospatial Data Science Distinguished Speaker Series
UIUC Department of Geography & GIS
Wednesday, February 6th, 2019
George Percivall
Chief Engineer and CTO
Open Geospatial Consortium
gpercivall@myogc.org
Copyright © 2019 Open Geospatial Consortium

OGC
®
My perspective
• Physics, remote sensing, systems engineering
• NASA weather satellite and information systems
• Standards for science and engineering
• OGC CTO

OGC
®
Mission of the
Open Geospatial Consortium
Global forum of developers and users
of spatial data products and services
Open international standards for
geospatial interoperability.
Source: 3d Stadtmodell BerlinSource: One GeologySource: Space Time Toolkit

OGC
®
Web Map Service (WMS)
Web Feature Service (WFS)
Web Coverage Service (WCS)
KML, GML, GeoPackage
GeoTIFF, NetCDF, HDF
Emergency /
Disaster
Management
Basic Geospatial Interoperability Challenge Solved
Eurocontrol
OneGeology.Org
CityGML
Aviation Flight Information / Safety
DigitalGlobe
Meteorology, Hydrology,
Ocean Monitoring
http://oos.soest.hawaii.edu/pacioos/voyager/news/20
13/
OpenIOOS.Org
1000s of Services, 100Ks Datasets Worldwide Implement OGC Standards

Copyright © 2019 Open
Geospatial Consortium

Science Paradigms
• Thousand years ago:
science was Empirical
describing natural phenomena
• Last few hundred years:
Theoretical branch
using models, generalizations
• Last few decades:
a Computational branch
simulating complex phenomena
• Today:
Data Exploration
– Data captured by instruments
Or generated by simulator
– Scientist analyzes database / files
using data management and statistics
2
2
2
.
3
4
a
cG
a
a












http://research.microsoft.com/en-us/um/people/gray/talks/NRC-
CSTB_eScience.ppt.

Fostering a Sustainable Geospatial Discovery and Innovation Ecosystem
GeospatialSoftware
Science & Technology
Extreme-Scale Computing,
NSF XSEDE, ROGER, etc.
Spatial Computational
Theories & Methods
CyberGIS
Geospatial Data Science
Advanced Computing &
Cyberinfrastructure
Computation- & Data-Intensive
Applications and Sciences
Earth & Environment,
Emergency Management,
Food + Energy + Water
Nexus, Sustainability, etc.
Source: Professor Shaowen Wang, NSF GSI Incubator Workshop, July 2018

OGC
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Geospatial Data Science
• Increasing data sources and volumes
• Geospatial coverages and analytics
• Semantics and linked data
• Cloud computing
• Machine learning

OGC
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Progression of Geospatial Information

OGC
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Sensors Everywhere
(Things or Devices)
50 billions Internet-connected things by 2020
Slide source: Steve Liang, Univ. Calgary

OGC
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Urban Models, Sensors, Applications
Source: http://www1.nyc.gov/site/doitt/initiatives/3d-building.page
CityGML models for 3D visualization
and analysis based on semantics
• Urban Planning / Operations
• Emergency Mgt / Response
• Transportation / Logistics
• Indoor navigation
• Retail Site analysis
• Sustainable / Green
Communities
• City Services Management
• Noise abatement
• Telecommunications placement
• Many other uses…
Source: Singapore Land Authority, and Geospatial Media

OGC
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Climate and Weather Observations
Slide Source: Ben Domenico

OGC
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Geospatial Coverages
• Coverage Data Structure
– “spatial function” or “field”
– Spatial Domain to Values Range
• Continuous Coverage
– Positions return a value
– May involve Interpolation
– e.g., predictive model outputs
• Discrete Coverage
– associate a single value to all positions
within a given Geometry Value Object
– e.g., imagery, land use

OGC
®
Geospatial Data Cubes
• Data Cube:
4D space/time Coverages;
Efficient access and analysis
• Analysis Ready Data:
Processed products
with methods to reduce
burden on users
TIME
http://www.datacube.org.au
Geospatial Data Cube Federation
Reference: rasdaman
• Federation based on
open standards

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.
Source: Earth Science Information Partners (ESIP), July 2016

OGC
®
Discrete Global Grid Systems
“…a spatial reference system that uses a hierarchical
tessellation of cells to partition and address the globe.
DGGS are characterized by the properties of their cell
structure, geo-encoding, quantization strategy and
associated mathematical functions.”
– OGC DGGS Standard

OGC
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Standardising Discrete Global Grid Systems
Different Cell Shapes
Square = Familiar Triangular = Fast Hexagonal = Fineness of Fit
00 01 02 03 10 11 12 13 20 21 22 23 30 31 32 33
nD Spatial Analyses

1D Array Processes
Unique Cell Indices
• Hierarchy-based, Space-filling Curve, Axes-based or Encoded Address

OGC
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OGC Moving Features Standard
"Moving features" data describes such things as
vehicles, pedestrians, airplanes and ships.

OGC
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Moving Features: one trajectory, one geometry
19
Operations between a trajectory object and a geometry
object of which geometry is stable
time
x
y
Trajectory object
Geometry object
Intersects
Intersection
Examples:
•intersects
•distanceWithin
•intersection

OGC
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Moving Features: Two trajectories
20
Operations between two trajectory objects from the
spatio-temporal viewpoint
time
x
y
nearest
Approach
distance
Within
Examples:
•distanceWithin
•intersection
•nearestApproach
Trajectory object

OGC
®
Spatial Semantic Web
TCP/IP
HTTP - URI
HTML - RDF/JSON -
Javascript
Web
Foundations
Spatial Topological
Relations
Knowledge Web
Relations
Semantic Logic
Relations (ForAll,
ThereExists)
hasGeometry
isPartOf
overlaps
describe
sowns
property
Of
isA
IfAndOnlyIf
functionalPropert
y

OGC
®
Observations and Measurements
• OGC SWE* defines
Observations,
relevant entities, and
their relationships
• Syntactic
interoperability and
Semantic
interoperability
*OGC Sensor Web Enablement (SWE) Standards
deployed in operational implementations for more than a decade

OGC
®
Semantic Sensor Network Ontology
• An OWL-2 DL ontology
• Relationships between
sensors/ actuators/ sampling
and
observations/ actuations/samplings
• Modular architecture for judicious
use of "just enough" semantics for
diverse applications
• Aligned with OGC/ISO
Observations and Measurements
https://www.w3.org/TR/vocab-ssn/
https://portal.opengeospatial.org/files/74883

OGC
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Allen Temporal Interval Algebra

OGC
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Data Science and Cloud
• Methods, processes, algorithms to extract knowledge or
insights from data in various forms, either structured or
unstructured
– Unifies statistics, data analysis, machine learning, related methods
– ”Fourth paradigm" of science:
empirical, theoretical, predictive models and now data-driven
• Data Science with Cloud Computing
– Large Datasets stored in clouds
– Data analysis using cloud capabilities
– Python and R

OGC
®
Application
consumer
Application
developer
Cloud Computing

OGC
®
Application
consumer
Dynamic registration of
new apps
Dynamic scaling of
cloud environment
Cloud Interoperability via
Open Standards
Consumers use their
own data
Minimize effort for app
developer
Application
developer

OGC
®
Multiple Cloud
providers
WPS WPS
Cloud
Provider
Cloud
Provider
WFS
WCS
WMS
CSW
Application
consumer
Application
developer
OGC Web Services for Cloud Computing:
• to reduce data delivery: WFS, WCS
• server side portrayal: WMS, WMTS
• server-side processing: WPS, WCPS
Interoperability and portability between clouds using
OGC Web Services

OGC
®
Machine Learning
Data + Rules
Classical
programming
Answers
Data + Answers
Machine
Learning
Rules
ImageNet
and CNNs
ImageNet Classification
with Deep
Convolutional Neural
Networks (CNNs)
Source: KSH, NIPS 2012
Programming vs. Machine Learning

OGC
®
ML&AI applied to Geospatial Data

OGC
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Human-Machine Partnership
“An integrated domain where hunches, cut-and-try,
intangibles, and the human ‘feel for a situation’ usefully
co-exist with . . . high-powered electronic aids.”
– Douglas Engelbart, 1962
“Perhaps no matter how fast computers progress,
artificial intelligence may never outstrip the intelligence
of the human-machine partnership.“
– Walter Isaacson, 2014

OGC
®
The Innovators of the Digital Revolution
“Most successful innovators had one
thing in common: they were “product
people”. They cared about, and
deeply understood, the engineering
and design.”
“Digital age may seem revolutionary,
but it was based on expanding
ideas handed down from previous
generations.”

OGC
®
© 2018 Open Geospatial Consortium 33
OGC Tech Trends
Publicly Available at: https://github.com/opengeospatial/OGC-Technology-Trends

OGC
®
OGC Geospatial Tech Trends Priorities
© 2018 Open Geospatial Consortium
Disruptive
Ripe – High Near Ripe – Medium
Sustaining
Near Ripe – Medium Track – Low
Next After Next
3D Model Creation
Blockchain Quantum Computing
Edge and Fog Computing
Immersive Geo
Indoor position,
models, nav
Machine
Learning
Micro-geography
HD Maps for
Autonomous
Web of Data
Workflow/Provenance
Dynamic Datums
GEO Platform Scale
UAV / UAS
Mod, Sim, Predict
5G Cellular
2018-09-03
= Highest Priority
(MER 2018-11-08)
Publicly Available at: https://github.com/opengeospatial/OGC-Technology-Trends

OGC
®
George Percivall
gpercivall at opengeospatial.org
@percivall

OGC
®
For Details on OGC …
OGC Standards
– Freely available
– www.opengeospatial.org/standards
OGC Innovation Program
– http://www.opengeospatial.org/ogc/programs/ip

Golden Age of Geospatial Data Science

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