Global Statistical Geospatial Framework – interoperability challenges

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Presentation transcript:

Global Statistical Geospatial Framework – interoperability challenges Martin Brady Co-Chair UN Expert Group for the Integration of Statistical and Geospatial Information Director – Geospatial Solutions Australian Bureau of Statistics Australia

Outline Origins of the Global Statistical Geospatial Framework Purpose for the Global Statistical Geospatial Framework Data interactions and interoperability challenges

Australian development of SSF

…. both communities International Mandate UN Economic and Social Council (ECOSOC) UN Statistical Commission (UNSC) Endorsed the Global Framework - March 2017 UN Committee of Experts on Global Geospatial Information Management (UN-GGIM) Adopted the Global Framework - August 2016 UN Expert Group – Integration of Statistical Geospatial Information …. both communities

Global Statistical Geospatial Framework 5 Principles

GSGF Purpose “The Global Statistical Geospatial Framework will provide: a common method for geospatially enabling statistical and administrative data, ensure that this data can be integrated with geospatial information.” Proposal for a Global Statistical Geospatial Framework, UN-GGIM 6, 2016 New York

Bridging between two communities Socio-Economic Datasets Statistical Community Spatial Community Socio-Economic Datasets Admin. & statistical boundaries Addressing, Place Names Transport, Water Land and Property Elevation and Depth Imagery Positioning Fundamental Geospatial Datasets Core Statistical Census, Demographics, Agriculture, Building, Labour Force, etc. Tax Income and Business Tax GSGF bridge Immigration Health Medicare, Pharmaceuticals, Workforce Land Valuation and Use Social Welfare Unemployment, Disability, Family Support Others …

Location – bridging the 3 domains

Global Statistical Geospatial Framework Interoperability

Geospatial data process in a Statistical context

Geospatial data Statistics Production of Spatial Statistics, an applied sketch of GSBPM General Statistical Business Process Model: http://www1.unece.org/stat/platform/display/GSBPM/GSBPM+v5.0 Terms used: Geospatial data: Data with direct reference to a specific location on the surface of the Earth (points, areas, lines) Spatial statistics: Geospatial data with statistics or table data with location information. Geospatial data 4 Collect geospatial data or other data with spatial information 5 Edit geospatial data, create spatiality 6 Study data quality, prepare and finalise outputs 7 Store, warehouse data, disseminate geospatial data products 8 Conduct evaluation 1-3 Plan the process INTEGRATION OF GEOSPATIAL DATA AND STATISTICS, e.g. Integrate by unique identifiers or other links Make derived classifications Create new information, prepare and finalise outputs Produce WFS/WMS, thematic maps, tables, graphs Evaluate usability Statistics 4 Collect statistical source data with or without spatiality 5 Classify, code, calculate aggregates 6 Create compilation of statistics, prepare and finalise outputs 7 Store, warehouse data, disseminate spatial statistics 8 Conduct evaluation 1-3 Plan the process

Interactions between statistical and geospatial data processes

Geospatial Community The Generic Statistical Business Process Model Specify needs Topographic data Statistical /Enumeration Boundaries Satellite data Address registers and locations Road network information Statistics for various geographies / grids Maps and services Articulate resources Geospatial Community

? Geospatial Community The Generic Statistical Business Process Model Specify needs Topographic data Statistical /Enumeration Boundaries Satellite data Address registers and locations Road network information Statistics for various geographies / grids Maps and services Articulate resources Geospatial Community General data user ?

Key interoperability challenges Commonly understood language Shared understanding of business processes and methods Shared understanding of data models, metadata and standards Mapping and interoperability between two community’s data models, metadata and standards Engage with other data group (e.g. W3C) Use of relevant communities standards ; ^ )