Geocoding the International Emergency Disasters Database (EM

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Transcript Geocoding the International Emergency Disasters Database (EM

Geocoding the International
Emergency Disasters Database
(EM-DAT)
Chelsea Schneider
Pacific Disaster Center
Mentor: Pam Cowher
Advisor: Chris Chiesa
Presentation Outline

Pacific Disaster Center

Project Overview

Results

Conclusion
Pacific Disaster Center
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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.
What is Geocoding?


The process of assigning geographic
identifiers to map features and other data
records.
For example:




Addresses
Zip Codes
Villages
Location Affected by a Natural Disaster
N
What is EM-DAT?
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Published by CRED (Center for Research on the
Epidemiology of Disasters)
Database of over 16,000 mass disasters in the world
from 1900-present
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:
 Ten (or more) people reported killed
 One hundred people reported affected
 Declaration of a state of emergency
 Call for international assistance
Web Source: http://www.emdat.be/; Data Source: CRED
Natural Disasters Reported (1900 – 2008)
Project Overview
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
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Geocoding from 1980-2008.
Using ArcGIS.
Plotting by best available data.
Plotted Countries
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Alphabetically
from
Afghanistan –
China.
Plotted Countries – Pacific Rim
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Australia.
Bangladesh.
Bhutan.
Brunei.
Burma.
Cambodia.
Indonesia.
Philippines.
Vietnam.
Thailand.
Total Numbers
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Completed
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44 Countries
2889 Disasters
6125 Geographic Identifiers
Remaining
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181 Remaining Countries
5997 Remaining Disasters
Thousands of Geographic Identifiers
Average # of Disasters Per Year (1980-2008)
16
14.55
14
14.55
12
10
10.65
8
6
5.95
4
4.2
2
1.35
0
Bangladesh
Cambodia
Indonesia
Philippines
Thailand
Viet Nam
Distribution of People Affected Per
Each Disaster Type (By Country)
CAMBODIA
BANGLADESH
25,000,000
45,365,302
INDONESIA
3,500
1,083,000
2,977,956
Drought
Earthquake
185,000
Drought
13,715
6,550,000
Mass Movement
Epidemic
9,257,756
Storm
355,327
Flood
Storm
6,617,776
417,538
3,949,542
6,110,000
10,100
9,057,120
1,970,841
1,578
292,270
3,121,248
9,789
Epidemic
Drought
Drought
Flood
Epidemic
Mass Movement
60,844,491
Wildfire
VIETNAM
Drought
300
Volcano
591,693
THAILAND
PHILIPPINES
Earthquake
Flood
3,909,752
237,703,386
1,424,980
Epidemic
3,032,000
Drought
Epidemic
Extreme
Temperature
Flood
Earthquake
604,754
17,500,000
Flood
Storm
Mass Movement
26,063,363
Epidemic
31,834,674
20,248,999
Flood
Volcano
Wildfire
Storm
1950
Storm
350
308,948,400
300
250
200
141,179,430
150
60,192,542
e
3,032,300
ild
fir
W
Vo
l
m
St
or
ov
e
m
en
t
od
M
as
sM
ca
no
2,029,734
657,697
Flo
ic
de
m
Ep
i
Ex
tre
m
ak
e
Ea
rt h
qu
ou
gh
t
0
4,000,504 185,000
re
5,884,093
ra
tu
50
eT
em
pe
100
Dr
# of People Affected (in Millions)
# of People Affected By Disaster Type
(1980-2008)
Historical Representations
Disasters (1980-2008)
20
18
# of Disasters
16
Bangladesh
14
Cambodia
12
Indonesia
10
8
Philippines
6
Thailand
4
Vietnam
2
20
08
20
06
20
04
20
02
20
00
19
98
19
96
19
94
19
92
19
90
19
88
19
86
19
84
19
82
19
80
0
60
Bangladesh
50
Cambodia
40
Indonesia
30
Philippines
20
Thailand
10
Vietnam
20
08
20
06
20
04
20
02
20
00
19
98
19
96
19
94
19
92
19
90
19
88
19
86
19
84
19
82
0
19
80
# of People Affected (in Millions)
Distress (1980-2008)
Project Analysis

Compare number of people affected by
the disaster with several of the country’s
socioeconomic factors:
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Gross Domestic Product
Literacy rates
Access to healthcare
Results
Average # of People Affected Per Disaster
(1980-2008)
1.6
1,461,197
# of People (in Millions)
1.4
1.2
1
0.8
600,936
555,912
0.6
489,104
0.4
266,464
0.2
55,697
0
Bangladesh
Cambodia
GDP 2006 (%)
Indonesia
Philippines
Thailand
Viet Nam
Access to Healthcare
(# of Physicians Per 10,000 People)
Adult Literacy Rates
100
15
14
90
12.76%
12
80
8.85%
9
7.88%
6
2.78%
3
Literacy Rate (%)
12
70
10
60
8
50
6
40
30
4
20
0.52%
0.65%
2
10
0
0
0
Bangladesh
Cambodia
Indonesia
Philippines
Thailand
Vietnam
Bangladesh
Cambodia
Indonesia
Philippines
Thailand
Vietnam
Bangladesh
Cambodia
Indonesia
Philippines
Thailand
Viet Nam
Correlations
Socioeconomic Comparison
(Value Chart)
Average # of People Affected Per Disaster
1.6
1,461,197
# of People (in Millions)
1.4
1.2
1
0.8
600,936
555,912
0.6
489,104
0.4
266,464
0.2
55,697
Bangladesh
0
Bangladesh
Cambodia
Indonesia
Philippines
Thailand
Viet Nam
Cambodia
GDP
Indonesia
Literacy Rate
Philippines
Thailand
Vietnam
Access to Healthcare
 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 4th and 5th lowest numbers of people
affected per disaster.
 GDP: No visual correlation. Further research could be done.
Conclusion
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Will be added as a layer in the Global
Hazards and Vulnerability Atlas
Acknowledgements

Pacific Disaster Center
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Pam Cowher
Sharon Mielbrecht
Chris Chiesa
Rich Nezelek
Colin Lindeman
Deborah Phelan
Akamai Internship
Program


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 Others
 Dave Harrington
 Mike Foley
 Mark Pitts
 Shanoa Miller
 2009 Akamai Interns
 And Everyone Else Who
Contributed to this Wonderful
Experience!!!
Lisa Hunter
Nina Arnberg
Mike Nassir
Lani Lebron
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 - 9876783).