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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. Developing the Statistical Spatial Framework
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The Statistical Spatial Framework for Australia - enabling location analysis Gemma Van Halderen First Assistant StatisticianPopulation, Education & Data Integration Division IAOS Conference, Danang, Vietnam 8 June 2014
Developing the Statistical Spatial Framework Summary of the Framework 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
SA1 summary data - Land value - Land cover - Land use - Cadastral change* - Building approvals * - Population* Other data in National Regional Profile: - Taxable income - Employment - Government benefits - Qualifications- Water use - Other SA1 data Output Input • State Valuations: • Land use • Land value Geoscience Australia’s Dynamic Land Cover grid Primary Land Account tables – NRM and State Land Cover by Land use Inland Water Irrigated Pasture Trees - open Units = Hectares or dollars SA1 summary data: additional information - Land value - Land cover - Land use - Cadastral change - Population - Building approvals Land parcel (Property) Rainfed pasture Trees - closed
Accessibility Analysis Dissemination Privacy • Comparability • Integration • Geostatistics Capability • Consistency • Metadata • Big Data • Flexibility • Open data Geospatial Infrastructure Standards Reuse
Foundation Spatial Data Frameworks – Fundamental Elements Data layers: Statistical Community Spatial Community NSS Socio-Economic Datasets Admin. & statistical boundaries Core Statistical Census, Demographics, Agriculture, Building, Labour Force, etc. Tax Income and Business Tax SSF bridge Addressing, Place Names Transport, Water Land and Property Immigration Health Medicare, Pharmaceuticals, Workforce Elevation and Depth Imagery Land Valuation and Use Positioning Social Welfare Unemployment, Disability, Family Support Others …
Geospatial Community Statistical Community Statistical Spatial Framework
SSF Vision • Informed decision making is enhanced by using location in a common framework to allow seamless integration of administrative, statistical and spatial information resources. • SSF Goals • All statistical data is consistently spatially enabled • Users can discover, access, integrate, analyse and visualise statistical information seamlessly for regions of interest
Australian application of SSF Policies, standards and guidelines support the release, access, analysis and visualisation of geostatistics. The Framework Accessible & Usable Interoperable metadata Use international statistical and geospatial metadata standards - further development required. Statistical Spatial Framework (SSF) Common geographic boundaries Data management: geocoded unit record data Australian Statistical Geography Standard - ASGS 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
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 V0.5 04/08/2014 Statistician’s Workbench Load Data Impute Data Aggregate Data Statistical Workflow Management (SWMS) Aggregation Processes Load Processes Imputation Processes StatisticalServices Load Services Imputation Services Aggregation Services Service Communication Layer MRR Services EDME Services Manage Repositories Access Data Manage Access Retrieve Register Get/Update Status Query Move / Rollback Data Statistical Information Management Statistical Metadata Process Metadata Statistical Data Enterprise Data Management Environment (EDME) Metadata Registry and Repository (MRR)
Australian application of SSF Policies, standards and guidelines support the release, access, analysis and visualisation of geostatistics. The Framework Accessible & Usable Interoperable metadata Use international statistical and geospatial metadata standards - further development required. Statistical Spatial Framework (SSF) Common geographic boundaries Data management: geocoded unit record data Australian Statistical Geography Standard - ASGS 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: geography@abs.gov.au Visit: www.nss.gov.au