CeBIT Spatial@gov 2012 - Gary Johnson, Manager, Industry Solutions, Esri Australia
Spatial@gov conference 2011 richard simpson
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Transcript of Spatial@gov conference 2011 richard simpson
Virtual Australia:
Evidential Data Management and Streaming 3D Visualisation for Vast Urban Models'
Grand father of Digital Earth
…to present the
known world as
one and
continuous, to
describe its
nature and
position . . .
(Geographike Uphegesis, Ptolemy) 110 AD
More elaborate detail showing ‘Wagon dwellers’
traversing the Silk Road route
1569, Mercator's projection of the world
Orthaleus/Barbuda (1570) Hondius / Mercator (1633)
‘Mind Map’ to ‘Grid Map’
Captain James Cook-
New Zealand - 1772
Cook’s Chronometer
Auckland Auckland –– 1886 (George Treacy Stephens)1886 (George Treacy Stephens)
Rediscovery of a lost stream in
Auckland, New Zealand
Parnell Heritage Society, New Zealand
Auckland’s sunlight and environmental performance control. Stain glass window approach enabled Visualisations within visualisations of sunlight performance and impacts.By Cadabra/ Simpson (1988)
Auckland’s skyline form was defined by this initiative
A new Political force was
born….
Concept ANZAC Centenary Bridge
www.bridge2015.org.nz
Debating ‘Better’ futures ….
Addressing Global concerns
“..The Digital Earth Summit is timely. There is a
growing feeling that we are at an important cross
roads of our planet’s history.
We are facing very challenging global issues, from
the threat of change to our ecosystem, to a
reduction in our biodiversity, the fast depletion of
finite resources, and the rise of so many mega
cities. Integrated data management can help us
meet those challenges...”
Prime Minister Helen Clark - Digital Earth 2006
Mega-initiatives and scalesSpatial Scale Temporal Scale
Digital Earth From atomic scale to the size of the earth
1016
From microsecond events (eg. Brownian motion) to age of the earth
1022
Physiome Diameter of an ion channel to scale of a human body
109
From microsecond events (eg. Ion channel gating) to human lifespan
1015
Human Genome The human genome has 30,000 genes, each with 3000 bp containing 1000 amino acids.
108
From atomic events to protein synthesis
105
20,000
genes60,000+proteins
12 organ
systems
1
body
200+ cell
types
4 tissue
types
Genome/Transcriptome/Metabolome/Proteome
Adapted from Hunter, PJ and Borg, TK. Integration from proteins to organs: The Physiome Project. Nature Reviews Molec & Cell Biol. 4:237-243, 2003
Physiome
1
Earth
Digital Earth
195
Nations200+
ecozones
Health and disease management
Education and trainingRisk AssessmentEnvironment al protectionSustainable DevelopmentCommunity Development
Food SecurityAgriculture and soilsLand use and land coverInternational cooperationCapacity building
HumanitarianDisaster ManagementSocial ServicesTransport networks
Community dialoguesSecurity and defenseE-Governance MeteorologyHeritage
Museums and public outreachEvacuation planning and managementClimate management and prediction
Hazard Management…….
GenBankEMBL, DDBJ
TIGR
dbEST
dSTS
PIR
SwissProt
Prosite
PDB
SCOPs
DNA
RNA
Protein
Structure
TissueML
FieldML
AnatML
OMIN, Medline PubMed
SNPbase, …
CellML Cell
Organ
Organ
System
Whole
Organism
Tissue
Genome
Circulatory system Respiratory systemMusculo-skeletal system
Skin (integument)Digestive systemCentral nervous system Endocrine system
Lymphoid systemMale reproductive system Female reproductive system Special sense organs
Physiome
Digital Earth
Geography
Markup Language
(GML) and KML
Coordinate
Transformation
(CT)
Catalogue Services
(CAT)
Features
CoordinateMapping
3D
Metadat
a
CityML
Sensor
sSensorML
Molecular medicineEnergy sources and environmental applicationsRisk assessment
Bioarchaeology, anthropology, evolution, and human migrationDNA forensics (identification)AgricultureLivestock breeding
Bioprocessing
Robust Science & Repeating
Patterns
About Nextspace
• 3D visualisation industry catalyst and technology developer
• Global thought leadership in the application of 3D visualisation
• Founding partners:
Boeing 777 = 27 Terabyte dataset, 3,000 engineers online 24x7, 16 servers, over 100 file
formats
Visual City•Smart Infrastructure
•Engaging Communities
•Saving Water
•Saving Energy
•Reducing Cost•Reducing Carbon Footprint
Post-CAD Post-GIS
DatabaseDatabase
Visualisation Visualisation
Evidential Data Management (5D)
Plant ManagementManufacture TransportTelco
Electric
Water
Utilities
City Planning
ConsultationConsenting
Architecture
3D Evidential
Clearinghouse
(ECHO)
City’s Operational Systems(GIS, CAD, WMS, DMS, SCADA
etc)
Generic Visualisation Tools
Curating Tools
Conditioning
Engines
Deriving
Engines
Inspection
Consultation
Validation
Capture
Catalogue
Bidding
Decision Support
Learning
Home
Process Operation
Raw Data
Operational Data
Enhanced
Operational Data
Derived
Strategic &
Tactical Data
for Visualisation Enhanced
Strategic &
Tactical Data
Research
Spatio-temporal clouds of
certainty
Why 3D …..why not 3D !
• Communication – reduce ambiguity
• Validation
• Calibration
• Certification (Inspection)
• Informing – learning and assessment
• Completeness for modelling
• Sentient Infrastructure –self aware
• Change tracking
• Simulation - input and output
• Support emerging dynamisms
• Raw data increasingly sourced in 3D ……
Visual City•Smart Infrastructure•Engaging Communities
•Saving Water
•Saving Energy
•Reducing Cost
•Reducing Carbon Footprint
An interactive forum for debate
Auckland Council – Spatial Plan
An interactive forum for debate
An interactive forum for debate
An interactive forum for debate
More robust consultation
http://www.youtube.com/nextspacenz#p/a/u/0/NBD2QWyBvlg
Predefine
GridSpy
Building
Information
Model
(BIM)
CyberCIty - Ecocity
Streamline consenting services
Evidence Driven Decision making
Mayor Len Brown and Vice Chancellor Stuart McCutcheon view stereoscopic visualisation of Christchurch’s earthquakes at Nextspace-IESE Visualisation
Centre, University of Auckland. Realtime scientific foundation for greater
evidence driven spatial planning.
3D Catchment View .
3D Property View – for home owner,
inspectors,3D Operations View
Automated derivative generation
Tree roots and services (3D pipes parametrically generated from GIS).
Viewing on site with iPad – facilitation for Augmented Reality applications.
Visual Water- South East Water (Melbourne) - Nextspace
Smarter Infrastructure
Making the invisible visible
Rock data evidentially amalgamated from geomorphology , borehole, GPR etc.
Making the intangible tangible
Auckland Council – Spatial Plan Spider Map
Multi-Metaphors + Multi-Dimensions
http://www.nextspace.co.nz/wp-content/uploads/2011/03/Visual-Water-White-
Tracing the Urban Water Cycle
Extending the 5 human senses
Drone Data Capture
Sensors
Deep borehole seismology - sensor array under Eden Park
IESE University of Auckland
Monocular Cues for 3D form
• Motion Parallax
• Kinetic depth perception
• Perspective
• Relative size
• Familiar size
• Light scattering by the atmosphere
• Focal accommodation
• Occlusion
• Curvilinear perspective (fisheye lens)
• Texture gradient
• Lighting and shading
• Defocus blur
Binocular Cues
• Retinal binocular disparity
• Convergence
• Shadow Stereopsis
Building Human Super Senses
Blurring the Physical and Digital
metap
hors
patterns
data
processe
s
mod
elsknowledge
Building the digital ecology
Data Vaue Chain
metap
hors
patterns
data
processe
s
mod
elsknowledge
Nodes of engagement
metap
hors
patterns
data
processe
s
mod
elsknowledge
metap
hors
patterns
data
processe
s
mod
elsknowledge
SCIENCE
CITIZENRY
GOVERNANCE
metap
hors
patterns
data
processe
s
mod
elsknowledge
STANDARDS, STANDARDS,
BENCHMARKINGBENCHMARKING
& PROTOCOL& PROTOCOL
ORGANISATIONSORGANISATIONS
RESEARCH
CENTRES
NGOs &NGOs &
GOVERNMENTSGOVERNMENTS
SOFTWARE, DEVICE &
DATA PROVIDERS
Evaluation &refinement
Evolving ecology of Technology, Science, Digital Content, and Policy
patterns p
rocesse
s
mod
elsknowledge
Feasibility Prototypes
metap
hors
data
Feasibility Prototypes
patterns
mod
elsknowledge
metap
hors
data
processe
s
Functional Prototypes
patterns p
rocesse
s
knowledge
metap
hors
data
mod
els
Integrated Systems
patterns p
rocesse
s
mod
elsknowledge
metap
hors
data
Evidence driven
Systems
metap
hors
patterns
data
processe
s
mod
elsknowledge
Industry peak bodies & Research themes
Data Cities Research Alliance
Government + Councils +Utilities
Contestable Innovation Investment
Core Platform
Investment
Economic Return
Asset
Private Sector
Research
Sector
Contest with consortiums
Data
Cycle
Commerce
Cycle
Actions• Now (Plan)
– Embrace Virtual Australia vision
– Identify key themes and organisations
– Secure initial funding for platform and knowledge transfer
– Identify prototypes to inform
• Next (Synthesis)– Build feasibility protoypes
– Build functional prototypes
– Build scientific research forums
– Build initial platform
• After Next (Evaluate and Prescribe)– Policies and Regulations – Demand side Management
– Enhance prescriptive elements (simulation and cognition)
– Evaluate and refine
– Socialise, socialialise, socialise….
Digital Earth SummitWellington, New Zealand
2- 5th September 2012