Transcript Slide - IAOS 2014 Conference

The Statistical Spatial
Framework for Australia
- enabling location analysis
Gemma Van Halderen
First Assistant Statistician
Population, Education & Data Integration Division
IAOS Conference, Danang, Vietnam
8 June 2014
1. Developing the Statistical Spatial Framework
2. Summary of the Framework
3. Australian application of the Framework
Changing information environment
• Growing demand for geostatistics
- for smaller areas
- more variety in regions, greater flexibility
- geostatistics from administrative data
- opportunities from big data & open data
• Maturing geospatial data infrastructure
• National statistical leadership role in geostatistics
How do government agencies use
or want to use spatial information?
Developing and evaluating policy
• Understanding clients and their locations
• Modelling or determining impacts by region
Administration of programs
• Contracts based on operations within regions
• Use of spatial analysis in fraud control
Reporting
• By many areas, e.g. state, electorate, postcode, LGA,
statistical areas, departmental specific.
• Open data and data for national statistics
ABS - a strong geospatial history
Australian Statistical Geography Standard (ASGS)
Population Census – collect, process and disseminate
National Regional Profile – a range of data sources
• New access portal – Data By Regions
Geospatial Data Integration – Land Account
Input
SA1 summary data
State Valuations:
Geoscience
- Land
value
• Land use
Australia’s
• Land value
Land
- Land
use Dynamic
Cover grid
Inland
-Irrigated
Building
approvals*
Pasture
Trees - open
Water
Output
Primary Land Account tables
- Land
cover
– NRM and
State
- Cadastral
change*
Land Cover
by Land use
- Population*
Units = Hectares or dollars
Other data in National Regional Profile:
- Taxable income
- Employment
SA1 summary data: additional information
- Land
Government
benefits - -Qualifications
Land value
- Land cover
parcel
- Land use
- Cadastral change
(Property)
Population SA1- Building
- Water use
- -Other
dataapprovals
Rainfed pasture
Trees - closed
Australian
Statistical
Geography
Standard
(ASGS)
Analysis
Dissemination
Accessibility
Reuse
Integration
Comparability
Consistency
Privacy
Geostatistics
Metadata
Flexibility
Open data
Standards
Capability
Geospatial
Infrastructure
Big Data
ANZLIC Foundation
Spatial Data
Framework
Statistical Community
Spatial Community
NSS Socio-Economic Datasets
Foundation Spatial Data Frameworks
– Fundamental Elements
Core Statistical
Tax
Census, Demographics,
Agriculture, Building,
Labour Force, etc.
Income and
Business Tax
Data layers:
Admin. & statistical boundaries
Addressing, Place Names
Immigration
Health
Medicare,
Pharmaceuticals,
Workforce
Social Welfare
Unemployment,
Disability,
Family Support
Land
Valuation
and Use
SSF
bridge
Transport, Water
Land and Property
Elevation and Depth
Imagery
Positioning
Others …
Statistical
Community
Statistical
Spatial
Framework
Geospatial
Community
2. Summary of the Framework
SSF Vision
SSF Goals
Informed decision making is enhanced
by using location in a common framework
to allow seamless integration of administrative,
statistical and spatial information resources.
All statistical data
is consistently
spatially enabled
Users can discover, access,
integrate, analyse and visualise
statistical information seamlessly
for regions of interest
The Framework
Australian application of SSF
Policies, standards and guidelines support the release,
Accessible access, analysis and visualisation of geostatistics.
& Usable
Interoperable
metadata
Use international statistical and
geospatial metadata standards
- further development required.
Common geographic boundaries
Australian Statistical Geography
Standard - ASGS
Data management:
geocoded unit record data
Authoritative geospatial infrastructure and geocoding
Statistical data management,
Geocodes are location coordinate
and ASGS Mesh Block
Foundation Spatial Data &
NAMF - National Address
Management F’work
3. Australian application of the Framework
Address on census night,
Census coding
• Autocoding using GNAF
– 91.3% direct coding
– 94.2% with reprocessing
• Additional online clerical
coding using GNAF and
census collector maps
– 96.7% direct clerical
– 97.0% with reprocessing
• Intense clerical review
and imputation
– 100%
Information Infrastructure Services
Load Data
V0.5
Impute Data
Statistician’s
Workbench
Aggregate Data
Load
Processes
Imputation
Processes
Aggregation
Processes
Load
Services
Imputation
Services
Aggregation
Services
04/08/2014
Statistical Workflow
Management (SWMS)
Statistical Services
Service
Communication Layer
Register
Retrieve
Get/Update
Status
Query
Manage
Repositories
Access Data
Move / Rollback
Data
MRR Services
Statistical
Metadata
Process
Metadata
Metadata Registry and Repository (MRR)
Manage Access
EDME Services
Statistical Data
Enterprise Data Management Environment (EDME)
Statistical
Information
Management
Common Statistical Production Architecture
Business Architecture
Information Architecture
Application Architecture
Technology Architecture
• General Statistical
Business Process
Model – GSBPM
• General Statistical
Information Model
– GSIM
• Data
Documentation
Initiative – DDI
• Statistical Data and
Metadata Exchange
– SDMX
• National Statistical
Office - NSO
Geospatial Data
and Metadata
The Framework
Australian application of SSF
Policies, standards and guidelines support the release,
Accessible access, analysis and visualisation of geostatistics.
& Usable
Interoperable
metadata
Use international statistical and
geospatial metadata standards
- further development required.
Common geographic boundaries
Australian Statistical Geography
Standard - ASGS
Data management:
geocoded unit record data
Authoritative geospatial infrastructure and geocoding
Statistical data management,
Geocodes are location coordinate
and ASGS Mesh Block
Foundation Spatial Data &
NAMF - National Address
Management F’work
For more information
E-mail: [email protected]
Visit: www.nss.gov.au