1. Global Data Integration CRED Workshop October 26, 2009 Greg Yetman gyetman@ciesin.columbia.edu World Data Center for Human Interactions in the Environment

2. Focus on the need for publicly available, spatially integrated framework data Best Solutions? – Interoperable services, data standards http://sedac.ciesin.columbia.edu/GSDworkshop/

3. Global Administrative Units

4. Administrative Units by Region ContinentAdministrative Units Africa109,222 Asia99,783 Europe98,947 North America*74,530 South America15,147 Oceania2,203 Total399,832 *Census blocks (8 million units) have now been processed for the United States

5. GPW: Population Density

6. GRUMP Points 55,000 places with population estimates

7. GRUMP: Urban Extents Mask

8. GRUMP Population Density

9. 9 The Global Disaster Risks Hotspots study completed in 2005-06 compared mortality risks from 6 major natural hazards (floods, drought, cyclones, earthquakes, volcanoes, and landslides) taking into account exposed population and associated vulnerability on a 2.5’ x 2.5’ grid. Data integration - Hazards data (risk and occurrence) - Exposure data (pop) - EM-DAT data on mortality Natural Disaster Hotspots

10. 10 The hotspots analysis also revealed significant economic loss “hotspots” in both developed and developing countries, comparable to levels of development assistance. Data integration - Hazards data (risk and occurrence) - Exposure data (GDP PPP) - EM-DAT data on economic losses Natural Disaster Hotspots

11. Available as Open Map Services http://sedac.ciesin.columbia.edu/mapviewer/index.jsp?cntx=Hazards.xml

12. 12 Case study by V. Ralapawane and L. Zubair Hotspots Case Studies

13. Drought Counts by Admin Unit Georeferenced from EM-DAT Drought Events 1 - 2 3 - 4 5 - 6 7 - 9 1969-2004

14. Drought Indicators: Standardized Precipitation Index 1952-2007 Drought Events 1 - 4 5 - 6 7 - 8 9 - 11 12 - 18

15. We still do not have an adequate handle on the ways in which specific populations – e.g., the young, the old, the poor, and the disenfranchised – may be especially vulnerable to different hazards, or combinations of hazards http://graphics8.nytimes.co m/ images/2008/05/27/science/ 0527-sci-SCHOOL190.126.jpg School Age Population

16. IPCC summary of projected impacts 16

17. Effect of increasing capacity CO 2 $ $ 17

18. Can we build a better roads database? gROADS: - Sponsored project of CODATA and UN- GAID - Aiming for improved accuracy, completeness, topological integration, update frequency, accessibility -Current focus: GPS data collection in Ethiopia funded by Gates Foundation

20. Will Climate Change Lead to Mass Migration? Data integration - Spatial drivers of migration -Qualitative data on migration -Need to find way to get better data!

21. How many people are exposed to potential sea-level rise? + low elevation coastal buffer Cambodia Vietnam Ho Chi Min City Data integration - global sea-level - subnational population, gridded

22. Which countries are most environmentally sustainable? Data integration - over 115 global environmental data sets Partnership with Chinese Academy of Environmental Planning exploring options within China

23. Data integration - Spatial drivers of wilderness loss- population, roads, agriculture, cities

24. Where are the next emerging infectious diseases likely to strike? List activities here Data integration - spatial database over 500 emerging diseases -Spatial data on drivers, including human and wildlife population

25. Does climate stress make war more likely? Data integration - Georeferenced civil war incidence - Precipitation, runoff grid

26. What our future holds Improving ability to explain complex dynamics – interactions across multiple spatial time series – Land cover change – Hazard vulnerability – Water scarcity Improving ability to monitor the things that matter most – Food and water security – Soil fertility – Migration Improving ability to project into the future – Emerging diseases – Urbanization patterns – Drivers of climate change vulnerability – Political instability early warning