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OPEN SPATIAL DATA FOR DISASTER RISK REDUCTION Christina Griffin

Open access spatial data for effective disaster risk reduction

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Page 1: Open access spatial data for effective disaster risk reduction

OPEN SPATIAL DATA FOR

DISASTER RISK REDUCTION

Christina Griffin

Page 2: Open access spatial data for effective disaster risk reduction

WHAT IS SPATIAL DATA?

h"p://2012books.lardbucket.org/books/essen8als-­‐of-­‐geographic-­‐informa8on-­‐systems/sec8on_06_01.html  

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DISASTER RISK REDUCTION

§  Response   §  Needs  and  impact.    

§  Preparedness    §  Evacua8on  plans.  

§ Mi8ga8on  and  preven8on    §  Hazard  maps  and  land-­‐use  planning.  

By  Department  of  Foreign  Affairs  and  Trade  (Disaster  response,  Indonesia)  [CC-­‐BY-­‐2.0  (h"p://crea8vecommons.org/licenses/by/2.0)],  via  Wikimedia  Commons  

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h"p://www.brisbane.qld.gov.au/community/community-­‐safety/disasters-­‐emergencies/types-­‐disasters/flooding/understanding-­‐your-­‐flood-­‐risk/flood-­‐awareness-­‐map-­‐guides  

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MANUS

NEWIRELAND

EASTNEW

BRITAINWESTNEW

BRITAIN

WESTSEPIK

EASTSEPIK

MADANG

MOROBE

WESTERN

SOUTHERNHIGHLANDS

ENGA WESTERNHIGHLANDS

CHIMBUEASTERNHIGHLANDS

GULF

CENTRAL

NORTHERN

MILNEBAY

BOUGAINVILLE

Port

Moresby

Lae

Madang

Goroka

Mount

Hagen

Popondetta

Rabaul

Kimbe

St. Andrew Strait

Bam

Manam

Karkar

Long Island

Ritter Island Langila

Rabaul

Lolobau

UlawunBamus

KaraiPago

Garbuna Group

LamingtonVictory

Waiowa

Bagana

Honiara

AUS TRAL I A

INDONESIA

HONIARA

P A P U A

N E W G U I N E A

SOL OMONI S LAND S

Issued: 01 March, 2011

Cyclone Season: Nov to AprPeak month: February

Seismic, Volcanic and Tropical Storm Risk

C o r a l S e a

G u l f o fP a p u a

B i s m a r c k S e a

S o l o m o n S e a 0 150 300

Kilometers

Legend

!!!\ OCHA office or presence

!\ Country capital

!( Major town or city

# Holocene volcano

International boundary

Province boundary

Tsunami Hazards! ! Storm surge! ! Tsunami! ! Tsunami and Storm surge

Earthquake Intensity

Modified Mercalli Scale

Degree I-V

Degree VI

Degree VII

Degree VIII

Degree IX-XII

Tropical Storm Intensity

Saffir-Simpson Scale

One: 118-153 kmh

Two: 154-177 kmh

Three: 178-209 kmh

Four: 210-249 kmh

Five: 250+ kmh

Map data source(s):UN Cartographic Section, Global Discovery, PNGNational Statistical Office, Smithsonian Institute,Pacific Disaster Center, UNISYS, Munich ReinsuranceGroup

Disclaimers:The boundaries and names shown and thedesignations used on this map do not imply officialendorsement or acceptance by the United Nations.

All Natural Hazard RisksThe bar chart shows the degree of exposure to natural hazards andthe percentage of area affected (per country). Tsunami and stormsurges are a threat to coastal regions, particularly gulfs, bays, andestuaries. The flood hazard results from river floods and torrentialrain. The hazard of dryness and drought is caused by major deviationsfrom the normal amounts of precipitation. The frost hazard dependson the elevation and the latitude.

(c) 2009, Munich Reinsurance Company, Munich Re Geo RisksResearch Department

Map Doc Name:OCHA_PNG_Hazard_v4_110606

Creation Date:Projection/Datum:Web Resources:

22 March 2011Behrmann/WGS84

http://ochaonline.un.org/roap

h"p://www.unocha.org/roap/maps-­‐graphics/na8onal-­‐hazard-­‐maps  

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OPEN SPATIAL DATA §  Crowd  sourcing  principle:  

§  A  collec8ve  group  of  individuals  can  solve  a  problem  be"er  or  equal  to  an  expert.  

§ Wikipedia  (Giles,  2005).  §  Asserted  rather  than  authorita,ve  data  (Goodchild  and  

Glennon,  2010).  

§  ‘Given  enough  eyeballs  all  bugs  are  shallow’  (Raymond,  1999).  

§  ‘Public  accountability’  (Gao  et  al,  2011).  

 

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CROWD SOURCING IN A CRISIS

§  Mobile  phone  GPS  (Chang  et  al.,  2014).  §  Social  media    §  Email  §  Foursquare  §  Ushahidi  –  Hai8  Crisis  Map  (Merchant  et  al.,  

2011).  

 

TravellerW  INCREDIBLE  standoff  between  pro-­‐change  and  pro-­‐Mubarak  demos  at  Tahrir  NOW  #Egypt  #jan25  h"p://twitpic.com/3vqkcp  13:40:49  (h"p://www.theguardian.com/world/2011/apr/14/tahrir-­‐square-­‐tweet-­‐egyp8an-­‐uprising)    

Ushahidi  Crisis  Map,  Hai8  (Gao  et  al.,  2011)  

Page 9: Open access spatial data for effective disaster risk reduction

OPEN STREET MAP §  Crowd  sourced  map  of  the  world.  §  Anyone  can  download,  create  and  make  changes  to  the  map.  

§  Constantly  upgraded.  §  Easily  used  with  geographical  informa8on  systems  (GIS).  

§  www.openstreetmap.org  

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?  

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OSM FOR DRR §  Ci8zen  based  mapping.  

§  Community  par8cipa8on  

§  Can  feed  into  other  plajorms  like  Ushahidi.  

§  Unmapped  areas.  §  Hai8  earthquake  §  Jakarta’s  administra8ve  areas.  §  Con8ngency  planning.    

Mapping  Jakarta’s  administra6ve  boundaries  (source  AIFDR,  Australia  Aid)  

Page 18: Open access spatial data for effective disaster risk reduction

h"p://mapkibera.org/work/tools/  

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h"p://www.economist.com/news/interna8onal/21632520-­‐rich-­‐countries-­‐are-­‐deluged-­‐data-­‐developing-­‐ones-­‐are-­‐suffering-­‐drought  

MAPS AND EBOLA

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GOVERNMENT §  Suppor8ng  open  access  data  and  data  sharing  plajorms.  §  Supplying  expert  data  in  a  useable,  downloadable  and  raw  data  format.  

§  Open  Geospa8al  Consor8um.    §  Access  data  previously  unavailable.    §  Re-­‐thinking  role  of  the  state  in  early  warning  and  response  (Rodriguez  et  al.,  2007).  §  Public  par8cipa8on.    

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ACADEMIA §  Cost  effec8ve.  §  Easily  accessed.  §  Can  contribute  to  maps:    

§  Localised  studies  can  contribute  to  a  global  map.  

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Java  

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Bing  Satellite  

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POTENTIAL ISSUES §  Data  quality  –  ‘expert  replaced  by  GPS  user  with  no  exper8se’  (Goodchild  and  Glennon  2010).  §  Data  standards  and  specifica8ons,  Google  Maps  Datum?  (Goodchild,  2007).  

§  False  informa8on  (Goodchild,  2007).  § Mapping  enthusiasts  vs.  genuine  community  involvement  (Zook  et  al.,  2010).  

§  People  lep  off  the  map  (Zook  et  al.,  2010).    

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BENEFITS §  Real  8me  data  (Merchant  et  al.,  2011).    §  Greater  coverage.  

§  Some8mes  only  data  available  (i.e.  Hai8  earthquake,  Ebola  in  Liberia,  Kibera  Nairobi).  

§  Cost.  §  Ci8zen  par8cipa8on  (Merchant  et  al.,  2011).  

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REFERENCES Gao,  H.  and  Barbier,  G.,and  Glsby,  R.    (2011)  Harnessing  the  Crowd  Sourcing  Power  of  Social  Media  for  Disaster  Relief.  IEEE  Computer  Society,  1541-­‐1672  (11),  10-­‐14.    Giles,  J.,  (2005).  Special  report:  internet  encyclopaedias  go  head  to  head.  Nature,  438,  900-­‐901    Goodchild,  M.F.  (2007).  Ci8zens  as  sensors:  the  world  of  volunteered  geography.  Geojournal,  69,  211-­‐221.    Goodchild,  M.F.  and  Glennon,  A.(2010)  Crowdsourcing  geographic  informa8on  for  disaster  response:  a  research  fron8er.  Interna,onal  Journal  of  Digital  Earth,  3(3),  231-­‐241.    Merchant,  R.M.,  Elmer,  S.  and  Lurie,  N.  (2014).  Integrag8ng  Social  Media  into  Emergency-­‐Preparedness  Efforts.  The  New  England  Journal  of  Medicine,  365  (4),  289-­‐291.    Raymond,  E.  (1999).  The  Cathedral  and  the  Bazaar:  Musings  on  Linux  and  Open  Source  by  an  Accidental  Revolu,onary.  O’Reilly  Media,  Sebastapol.    Rodriguez,  H.,  Diaz,  W.,  Santos,  J.  and  Aguirre,  B.  (2007).  “Communica8ng  Risk  and  Uncertainty:  Science,  Technology  and  Disaster  at  the  Crossroads.”  Handbook  of  Disaster  Research,  H.  Rodriguez,  E.  L.  Quarantelli,  and  R.  Dynes,  (eds).  Berlin:  Springer,  pp.  476-­‐488.    Zook,  M.  (2010).  Volunteered  Geographic  Informa8on  and  Crowdsourcing  Disaster  Relief:  A  Case  Study.  World  Medical  and  Health  Policy,  2(2),  7-­‐33.    

USEFUL SITES www.openstreetmap.org  www.qgis.org/en/site  www.ushahidi.com  www.mapkibera.org