1. Make the SDGs more actionable through Geospatial Information:
Overall framework and specific opportunities for indicators
Greg Scott & Steven Ramage
United Nations Statistics Division
Group on Earth Observations (GEO)
Positioning geospatial information to address global challenges

2. 2030 Agenda: Integration of Information Systems
Statistics
Geospatial
Observations
Other data
Positioning geospatial information to address global challenges

3. Societal Benefit Areas – geoportal.org
Positioning geospatial information to address global challenges

4. First account of where the world stands at the beginning of implementation of the 2030 Agenda
Explore the Report with interactive charts and graphs for every Goal

5. Sustainable Development Goals Report 2016
Improving data quality and availability
143. Data of good quality are vital in order to make informed decisions and to ensure accountability for the implementation of the 2030 Agenda. Tracking progress on the SDGs requires the collection, processing, analysis and dissemination of an unprecedented amount of data and statistics at the subnational, national, regional and global levels, including those derived from official statistical systems and from new and innovative data sources.
147. New data sources and technologies for data collection will need to be explored, including through partnerships with civil society, the private sector and academia. The integration of geospatial information and statistical data will also be essential for the production of a number of indicators.
Positioning geospatial information to address global challenges

6. IAEG-SDGs Working Group on Geospatial Information
Inter-agency Expert Group on SDG Indicators Disaggregation by Geographic Location
Established by IAEG-SDGs in April Reports to the IAEG-SDGs and UN-GGIM.
Provide expertise and advice as to how geospatial information, Earth observations and other new data sources can reliably and consistently contribute to the indicators.
Review and enhance the agreed global indicators and metadata through a ‘geographic location’ lens.
Identify existing geospatial data gaps, methodological and measurement issues to augment and improve the production process of statistical data.
Propose strategies for undertaking methodological work on specific areas for improving disaggregation by geographic location concepts.
Positioning geospatial information to address global challenges

7. Reviewed global indicators through a ‘geographic location’ lens.
Geospatial information is able to provide enabling methodologies and processes for disaggregation.
Disaggregation of national statistical data is considerably strengthened through the lens of geospatial information.
Agreed to the formation of 6 task teams, 3 focused on working through 3 identified indicators, namely Indicator 6.6.1, and (water, rural population and land).
3 task teams sought to address 3 identified cross-cutting issues: data disaggregation by geographic location; alternative data sources; and international (global) datasets.
Goal is to help identify & support methods using Earth observations that can be adopted by NSOs for indictors
For Earth observations for the extent of water related ecosystems are available for helping to measure extent
For the global community is working to develop methods with common definitions and sufficient data resources
Positioning geospatial information to address global challenges

8. IAEG-SDGs Working Group on Geospatial Information
Inter-agency Expert Group on SDG Indicators Disaggregation by Geographic Location
Disaggregation
Geospatial information is able to provide enabling methodologies and processes for disaggregation.
Disaggregation of national statistical data is strengthened considerably through the lens of geospatial information.
This is acknowledged within the principles of the Global Statistical Geospatial Framework.
Positioning geospatial information to address global challenges

9. Disaggregation by geographic location
Statistics
Geospatial information
Positioning geospatial information to address global challenges

10. Integration and disaggregation by geographic location
Statistical data
Geospatial data
Positioning geospatial information to address global challenges

11. Integration and disaggregation by geographic location
Administrative areas
Gridded datasets
Geospatial base layers
Lowest level/small area geography differs greatly from country to country
Gridded data is often the only geospatial solution available to achieve uniformity and integration on a global scale
Combined base layer information (i.e. small area geography and imagery) is useful to validate human settlement patterns and geographical features
Positioning geospatial information to address global challenges

12. EO4SDGs and WGGI CEOS ESA JAXA NASA INEGI GPSDD UN-GGIM
Positioning geospatial information to address global challenges

13. “Geospatial information and Earth observations provide enabling methodologies and processes for disaggregation, strengthening national statistical data and the global indicators through the power of location.”
Positioning geospatial information to address global challenges

14. This work is happening now: http://tinyurl.com/k3pxfuz
Greg Scott & Steven Ramage
United Nations Statistics Division
Group on Earth Observations (GEO)
Positioning geospatial information to address global challenges