Geocoding the International Emergency Disasters Database (EM-DAT) Chelsea Schneider Pacific Disaster Center Mentor: Pam Cowher Advisor: Chris Chiesa

Presentation Outline Pacific Disaster Center Pacific Disaster Center Project Overview Project Overview Results Results Conclusion Conclusion

Pacific Disaster Center Mission: To provide research and analysis support for the development of more proactive policies, institutions, programs and information products for disaster management and humanitarian assistance communities within and beyond the Asia Pacific region. Mission: To provide research and analysis support for the development of more proactive policies, institutions, programs and information products for disaster management and humanitarian assistance communities within and beyond the Asia Pacific region. Goal: Promote disaster management as an integral part of national to local economic and social development to foster disaster-resistant communities. Goal: Promote disaster management as an integral part of national to local economic and social development to foster disaster-resistant communities.

What is Geocoding? The process of assigning geographic identifiers to map features and other data records. The process of assigning geographic identifiers to map features and other data records. For example: For example: Addresses Addresses Zip Codes Zip Codes Villages Villages Location Affected by a Natural Disaster Location Affected by a Natural Disaster

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What is EM-DAT? Published by CRED (Center for Research on the Epidemiology of Disasters) Published by CRED (Center for Research on the Epidemiology of Disasters) Database of over 16,000 mass disasters in the world from 1900-present Database of over 16,000 mass disasters in the world from 1900-present Information includes country, disaster type, date, total number affected, etc. Information includes country, disaster type, date, total number affected, etc. To qualify for entry into the database, one of the following criteria must be fulfilled: To qualify for entry into the database, one of the following criteria must be fulfilled: Ten (or more) people reported killed Ten (or more) people reported killed One hundred people reported affected One hundred people reported affected Declaration of a state of emergency Declaration of a state of emergency Call for international assistance Call for international assistance Web Source: Data Source: CRED

Natural Disasters Reported (1900 – 2008)

Project Overview Geocoding from Geocoding from Using ArcGIS. Using ArcGIS. Plotting by best available data. Plotting by best available data.

Plotted Countries Alphabetically from Afghanistan – China. Alphabetically from Afghanistan – China.

Plotted Countries – Pacific Rim Australia. Australia. Bangladesh. Bangladesh. Bhutan. Bhutan. Brunei. Brunei. Burma. Burma. Cambodia. Cambodia. Indonesia. Indonesia. Philippines. Philippines. Vietnam. Vietnam. Thailand. Thailand.

Total Numbers Completed Completed 44 Countries 44 Countries 2889 Disasters 2889 Disasters 6125 Geographic Identifiers 6125 Geographic Identifiers Remaining Remaining 181 Remaining Countries 181 Remaining Countries 5997 Remaining Disasters 5997 Remaining Disasters Thousands of Geographic Identifiers Thousands of Geographic Identifiers

Distribution of People Affected Per Each Disaster Type (By Country)

Historical Representations

Project Analysis Compare number of people affected by the disaster with several of the country’s socioeconomic factors: Compare number of people affected by the disaster with several of the country’s socioeconomic factors: Gross Domestic Product Gross Domestic Product Literacy rates Literacy rates Access to healthcare Access to healthcare

Results

Correlations  Literacy Rate: Bangladesh (~40% literacy rate) has the highest number of people affected per disaster.  Access to Healthcare: Philippines and Vietnam (highest number of physicians per 10,000 people) have the 4 th and 5 th lowest numbers of people affected per disaster.  GDP: No visual correlation. Further research could be done.

Conclusion Will be added as a layer in the Global Hazards and Vulnerability Atlas Will be added as a layer in the Global Hazards and Vulnerability Atlas

Acknowledgements Pacific Disaster Center Pacific Disaster Center Pam Cowher Pam Cowher Sharon Mielbrecht Sharon Mielbrecht Chris Chiesa Chris Chiesa Rich Nezelek Rich Nezelek Colin Lindeman Colin Lindeman Deborah Phelan Deborah Phelan Akamai Internship Program Akamai Internship Program Lisa Hunter Lisa Hunter Nina Arnberg Nina Arnberg Mike Nassir Mike Nassir Lani Lebron Lani Lebron Akamai Workforce Initiative Akamai Workforce Initiative The 2009 Maui Akamai Internship Program is funded by the University of Hawaii, the Department of Business, Economic Development, and Tourism, the National Science Foundation Center for Adaptive Optics (NSF #AST ).  Others  Dave Harrington  Mike Foley  Mark Pitts  Shanoa Miller  2009 Akamai Interns  And Everyone Else Who Contributed to this Wonderful Experience!!!