Session 3: Sustainable Development Goals, SDG indicators The Combination of Geospatial Data with Statistical Data for SDG Indicators Pier-Giorgio Zaccheddu (with the assistance of Francisco Vala & Cátia Nunes) 16-18 October 2018, Helsinki European Forum for Geography andstatistics (EFGS) Copyright 2013 EuroGeographics
UN-GGIM: Europe Work Plan 2017-2020 Task 1 (Subgroup 1): Policy Outreach Paper Promote the benefits of the integration of statistical and geospatial data Make use of recommendations from deliverables on priority user needs, interoperability frameworks, cooperation and methods for data integration and side effects Task 2 (Subgroup 2): Analyse new global, regional or national indicators Meet the Sustainable Development Goals 2030 Reflect the European perspective (INSPIRE, Copernicus) Reflect data integration aspects
UN-GGIM: Europe Work Plan 2017-2020 Task 1 (Subgroup 1): Policy Outreach Paper To be presented in Session 10: Benefits of Integration of Statistics and Geospatial Information by Franka Ginter Promote the benefits of the integration of statistical and geospatial data Make use of recommendations from deliverables on priority user needs, interoperability frameworks, cooperation and methods for data integration and side effects Task 2 (Subgroup 2): Analyse new global, regional or national indicators Meet the Sustainable Development Goals 2030 Reflect the European perspective (INSPIRE, Copernicus) Reflect data integration aspects
Task 2: Analyse global, regional or national indicators Check and assess (1) methodology and (2) data availability Systematization of global metadata for indicators and national practices Indicate EU-SDG indicators potentially benefiting from geospatial information additional national specific indicators benefiting from geospatial information and its combination with statistical data, defined within the context of national SDG monitoring
Task 2 Analyse global, regional or national indicators A Global Metadata Current reporting situation Methodology Gap Analysis Suggested integration C Brief Discussion papers Summary of the gap analysis Recommendations on how to deal with common issues B Current National Practices Reporting situation Data sources Data quality Gap analysis D Final Report Including the discussion papers Findings of the gap analysis national monitoring examples unsolved issues
Task 2: Selected SDG indicators 11.2.1 11.3.1 tier II indicator tier II indicator Proportion of population that has convenient access to public transport, by sex, age and persons with disabilities Indicator coordinator: Austria (NSI) Ratio of land consumption rate to population growth rate Indicator coordinator: Portugal (NSI) 11.7.1 15.1.1 tier III indicator tier I indicator Average share of the built-up area of cities that is open space for public use for all, by sex, age and persons with disabilities Indicator coordinator: Sweden (NSI) Forest area as a proportion of total land area Indicator coordinator: Italy (e-geos)
11.2.1 Proportion of population that has convenient access to public transport, by sex, age and persons with disabilities Global metadata gap analysis 5 National practices: Austria (NSI), France (NMCA), Ireland (NSI), Sweden (NSI) and Switzerland (NSI) EU SDG indicator: 11.21 Distribution of population by level of difficulty in accessing public transport (Eurostat) To be included as an annex to the final report Brief discussion, summarizing the global metadata gap analysis and European and national practices GEOSTAT 3 tests... when available Direct input for the final report
11.3.1 Ratio of land consumption rate to population growth rate Global metadata gap analysis 4 National practices: Finland (NMCA), Ireland (NSI), Italy (e- GEOS) and Portugal (NSI and NMCA) EU SDG indicators: 15.21 Artificial land cover per capita; 15.24 Change in artificial land cover per year (Eurostat) To be included as an annex to the final report Brief discussion summarizing the global metadata gap analysis and European and national practices GEOSTAT 3 tests from PT have been produced to be included NMCA national testing and INE/NMCA proxy in LCLU Stats Direct input for the final report
11.7.1 Average share of the built-up area of cities that is open space for public use for all, by sex, age and persons with disabilities Global metadata gap analysis 3 National practices: Ireland (NSI), Sweden (NSI and NMCA) and Switzerland (NSI) EU SDG indicators: No corresponding EU SDG indicator available To be included as an annex to the final report Brief discussion summarizing the global metadata gap analysis and European and national practices GEOSTAT 3 tests... when available Direct input for the final report
15.1.1 Forest area as a proportion of total land area Global metadata gap analysis 6 National practices: Austria (NMCA), Finland (NMCA), France (NMCA), Germany (NMCA), Italy (e-geos) and Spain (NMCA) EU SDG indicator: 15.11 Forest area as a proportion of total land area (Eurostat) To be included as an annex to the final report Brief discussion summarizing the global metadata gap analysis and European and national practices e-geos (Italy) testing; geospatial layers has been included Direct input for the final report
National report assessment Include an overall national report assessment for the several countries based on the Swedish classification model Source: Haldorson, M. (2017). Engaging Custodian Agencies: A National Perspective. Presentation at the IAEG-SDG WG GI, New York, Dec 2017.
National report assessment Include an overall national report assessment for the several countries based on the Swedish classification model Global 15.1.1 11.3.1 11.2.1 11.7.1 AT CH DE DK FI FR IE IT PT SE AT DE DK FI IE SE CH FR IT PT IE SE AT DE FI IT PT DK FR CH IE Disaggregation for disabled persons not possible yet CH SE AT DE DK FI FR IT PT National level indicator on the autonomous utilization of public transport by persons with disabilities (Health Survey) A national complementary indicator on the share of public green areas is already available as official statistics
Contribution to the IAEG SDG WG GI IAEG-SDGs Working Group on Geospatial Information Inter-agency Expert Group on SDG Indicators Task Streams disaggregation by geographic location and aggregation of geocoded unit level data; European colleagues contributed to work plan and objectives in August 2018 appropriate means to allow NSIs to uptake appropriate analysis or production ready satellite time series data contributed by space agencies Short list of geospatial indicators http://ggim.un.org/meetings/2017-4th_mtg_iaeg-sdg- NY/documents/WG's_Initial_Shortlist-Table_A_B.pdf
Contribution to the GEOSTAT-3 project Objective: Project funded by Eurostat to develop a European version of the GSGF and to test SDG indicators GEOSTAT-3 Work Package 1: Contribute to the improvement of the Global Statistical and Geospatial Framework (GSGF) and particularly the development of a European version of it 3 rd consolidation phase mid-end September 2018 Involvement of UN-GGIM: Europe WG Core Data and WG Data Integration GEOSTAT-3 Work Package 2: Test SDGs selected by WG on Data Integration National test reports using the gap analysis of UN-GGIM WG Data Integration Evaluation of the tests
Contribution to the GEOSTAT-3 project Objective: Project funded by Eurostat to develop a European version of the GSGF and to test SDG indicators GEOSTAT-3 Work Package 1: Contribute to the improvement of the Global Statistical and Geospatial Framework (GSGF) and particularly the development of a European version of it 3 rd consolidation phase mid-end September 2018 Involvement of UN-GGIM: Europe WG Core Data and WG Data Integration GEOSTAT-3 Work Package 2: Test SDGs selected by WG on Data Integration National test reports using the gap analysis of UN-GGIM WG Data Integration Evaluation of the tests To be presented in Testing SDG Indicators in Geostat 3 Project Marianne Vik Dysterud, Statistics Norway
Overarching questions Are there metadata recommendations regarding this indicator that should be highlighted at the global level for the United Nations (e.g., concepts, sources, algorithms...)? What are the relevant geospatial and statistical datasets to calculate this indicator and what are their status of availability at global, European and national levels? And at the European level are these datasets included in the Core Data recommendations? What are the main issues / challenges of using geospatial data and its combination regarding this indicator and what possible recommendations do we suggest?
Next actions to conclude the work October November December January Consolidate final report National report assessement Brief discussions papers Indicator testing (GEOSTAT 3) Submit report to UN-GGIM: Europe ExCom Finish Final Report DIRECT INPUT FOR THE REPORT Gap analysis with global, European and national practices ANNEX TO THE REPORT PUBLICATION Provide feedback to UN on metadata recommendations (e.g., IAEG-SDG WG GI)
The main communication platforms for the WG UN-GGIM Sessions & Fora IAEG SDG WG GI actions European Forum for Geography and Statistics (EFGS) Conferences UN-GGIM (global) WGs / UN-GGIM: Europe WG Core Data UN-GGIM: Europe WG on Data Integration UN EG ISGI INSPIRE Conferences Eurostat s WG Meeting on Integration UNECE activities GEOSTAT-3 findings
The main communication platforms for the WG 2018 UN-GGIM Sessions & Fora Session 1: International and National Cooperation UN-GGIM (global) WGs / UN-GGIM: Europe WG Core Data IAEG SDG WG GI actions UN-GGIM: Europe WG on Data Integration UN EG ISGI European Forum for Geography and Statistics (EFGS) Conferences INSPIRE Conferences Eurostat s WG Meeting on Integration UNECE activities Keynotes GEOSTAT-3 findings Session 3: Sustainable Development Goals, SDG indicators Session 10: Benefits of Integration of Statistics and Geospatial Information
Still some way to go but it remains exciting Chair: Hansjörg Kutterer Contact: UN-GGIM: Europe, WG Data Integration : Pier-Giorgio Zaccheddu, Technical Leader E-Mail: pier-giorgio.zaccheddu@bkg.bund.de