1. facebook.com/statisticssweden @SCB_nyheter How Geospatial Statistics can measure climate change Marie Haldorson Director Regions & Environment Department

2. facebook.com/statisticssweden @SCB_nyheter The Swedish Example

3. Georef. Register data Spatial data Processing Statistics Cadastral map Farm blocks Localities National Road database Land cover Etc Population register Real estate register Farm register Open pit register Etc Creating Geospatial statistics

4. - David Svensson - 42 years - Married to Lisa - 2 children - Works at a bank in Solna - Earns 43 000 Euro/year - Drives a Volvo V70 - Lives in a house with 9 775 sqm dwelling area. - 275 people live in the same house 100 meters to the closest health clinic 290 meters to the closest grocery store

5. - David Svensson - 42 years - Married to Lisa - 2 children - Works at a bank in Solna - Earns 43 000 Euro/year - Drives a Volvo V70 - Lives in a house with 9 775 sqm dwelling area. - 275 people live in the same house 100 meters to the closest health clinic 290 meters to the closest grocery store 100 meters to the closest road

6. - David Svensson - 42 years - Married to Lisa - 2 children - Jobbar på bank i Solna - Tjänar 430 000 om året - Kör Volvo V70 - Bor i fastighet taxerad som hyreshusenhet med bostäder och lokaler. 9 775 kvm bostadsyta. - 275 andra personer bor i fastigheten 100 meters to the closest health clinic 290 meters to the closest grocery store Access to 2 hectares green area within 100 meters from home 100 meters to the closest road

7. - David Svensson - 42 years - Married to Lisa - 2 children - Works at a bank in Solna - Earns 43 000 Euro/year - Drives a Volvo V70 - Lives in a house with 9 775 sqm dwelling area. - 275 people live in the same house 100 meters to the closest health clinic 290 meters to the closest grocery store Access to 2 hectares green area within 100 meters from home 100 meters to the closest road Acess to four alottments within 400 meters from home

8. - David Svensson - 42 years - Married to Lisa - 2 children - Works at a bank in Solna - Earns 43 000 Euro/year - Drives a Volvo V70 - Lives in a house with 9 775 sqm dwelling area. - 275 people live in the same house 100 meters to the closest health clinic 290 meters to the closest grocery store Access to 2 hectares green area within 100 meters from home 100 meters to the closest road Acess to four alottments within 400 meters from home

9. The issue of disclosure

10. facebook.com/statisticssweden @SCB_nyheter Developing a Statistical Spatial Framework UN-GGIM & GEOSTAT2

11. User needs

12. Admin. & statistical boundaries Addressing, Place Names Transport, Water Land and Property Elevation and Depth Imagery Positioning Foundation Spatial Data Frameworks – Fundamental Elements Data layers: NSS Socio-Economic Datasets Land Valuation and Use Immigration Others … Core Statistical Census, Demographics, Agriculture, Building, Labour Force, etc. Tax Income and Business Tax Health Medicare, Pharmaceuticals, Workforce Social Welfare Unemployment, Disability, Family Support SSF bridge Statistical CommunitySpatial Community

13. Statistical Spatial Framework Statistical Spatial Framework (SSF) Accessible & Usable Interoperable metadata Common geographic boundaries Data management: geocoded unit record data Authoritative geospatial infrastructure and geocoding

15. facebook.com/statisticssweden @SCB_nyheter Institutional arrangements UN-GGIM:Europe INSPIRE Swedish Geodata Cooperation

16. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Copyright ©2013 EuroGeographics The first UN-GGIM:Europe report: “Data Integration – Definition of priority user needs for combinations of data”

17. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Five recommendations: That Member States in Europe support the development of a European Spatial Data Strategy based on comprehensive National Spatial Data Strategies. This includes an obligation to geocode all administrative data records at unit level and to use geospatial information that is already available, rather than creating their own datasets. That Member States initiate a process to increase the number of national authoritative geospatial datasets to better meet stakeholders requirements.

18. the Competitiveness and Innovation framework Programme (CIP) ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK Five recommendations: That Member States consider the requirements of National Statistical Institutes to provide geospatial information for following trends and changes in the environment. That Member States promote the use of geospatial workflows and technology as key to advancing the integration of geospatial and thematic information. That Member States promote the use of geospatial workflows and technology, in particular for the Census 2021.

19. The INSPIRE Directive  The European INSPIRE Directive entered in force in May 2007 and will be fully implemented by 2020.  An infrastructure for spatial information in Europe – supports environmental policies and policies or activities which may have an impact on the environment.  The Directive is implemented in national legislation.

20.  27 Member States provide search, view and download services  34 Spatial data themes – both reference data and thematic data from different authorities

21. The Swedish Spatial Data Cooperation  Initiated by the European INSPIRE Directive  INSPIRE requires data sharing between public authorities  The parties access spatial data for official use at an annual fee  The Swedish Spatial Data Strategy gives the cooperation a broader scope than INSPIRE

22. Organisation f Organisation d Organisation e Organisation g Organisation a Organisation b Organisation c Organisation d Joint Agreement on Datasharing Organisation h Before 2011 and after….. The Swedish Spatial Data Cooperation

23. facebook.com/statisticssweden @SCB_nyheter The Power of Where

24. Potential impact of climate change (ESPON 2013 Programme – CLIMATE project) Administrative Areas vs. Grids

25. Flooding – how to prepare Example of GIS-application for calculation of consequences of a dam failure

26. Useful links  UN-GGIM Global Expert Group UN-GGIM Global Expert Group  UN-GGIM: Europe – Integration Statistics/Geospatial UN-GGIM: Europe – Integration Statistics/Geospatial  GEOSTAT 1 & 2 GEOSTAT 1 & 2