climate resilience decision making framework in the caribbean a case of spatial data ... · climate...
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Climate Resilience Decision Making Framework in the Caribbean
A case of Spatial Data Management
Bishwa Pandey Sr. Data Management Specialist The World Bank
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Background
The mission of The World Bank’s Latin America and the Caribbean Region (LCR) Disaster Risk Management (DRM) team is to work with national and local governments and with communities to identify hazard risk, assess vulnerability to adverse natural events and mitigate the impact of disaster through structural and non-structural measures, including risk financing and transfer. Spatial Data is the key to the analysis.
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Latin America and the Caribbean (LAC ) region is one of the most vulnerable region with respect to natural disasters
20 countries in LAC region has half of the GDP exposed to natural disasters
Damages due to natural hazards happen because of HOW and WHERE we build
The key component in decision making is using (geospatial) data in decision making process
Building resilience and better decision-making
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Open Data & the World Bank
The World Bank recognizes that transparency and accountability are
essential to the development process and central to achieving the Bank’s
mission to alleviate poverty. As a knowledge institution, the World Bank’s first
step is to share its knowledge freely and openly.
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Open Data for Resilience Initiative (OpenDRI)
The Open Data for Resilience Initiative (OpenDRI) is a global
partnership that aims to encourage and facilitate the sharing
and use of climate, disaster and other geospatial data to
enable more effective decision-making by providing the
rationale, technical assistance, and tools for data sharing.
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Generation of Hazard Data
layers
Exposure Database
Exposure vulnerability
Damageability
Loss of life and property
Risk Assessment Process
Type of hazard Intensity of event Regional difference
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Risk Assessment – Why it matters?
Source: Munich Re
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Spatial Data
Data is inherently Multi-dimensional Attribute Location Temporal Quality Resolution
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Exiting Spatial Data Situation
• Not enough data to carry out analysis • Existing data not readily available
• Numerous data format
• Poor or questionable data quality
• Scale of the data not sufficient
• Metadata non-existent or scant
• Data Vintage
• Data not in digital format or not in raw machine readable format
No comprehensive Data Sharing mechanism
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Treating Spatial Data as a National Asset
National Policy Data Inventory Quality Relevance Data Gap
Policy/Guidelines/Standards
Data Inventory
Resource/Capacity inventory
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Spatial Data Management Activities in the Caribbean
Haiti www.haitidata.org
St. Lucia http://sling.gosl.gov.lc/
SVG http://geonode.gov.vc/
Dominica http://dominode.net
Grenada Intranet version only
Belize http://geoserver.bnsdi.gov.bz/
Guyana Intranet version only
One of the largest community of practitioners with over 120 active community members. Belize
Haiti
Dominica St. Lucia
SVG Grenada
Guyana
Countries Currently engaged
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Collaboration Framework
Data maintenance
Line Ministries
Other Sectors NGOs/Private Sectors/Users
Line Ministries
Data Provider End Users
Data Platform
Other Sectors NGOs/Private Sectors/Users
IT support
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Example from Belize
A national policy on NSDI was approved by Cabinet on Sep., 2012 Sub- committees were formed to design and draft guidelines. a. Data Quality and Standards
b. Network Architecture and Platform Standards
c. Data Access and Security
d. Maintenance and oversight
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Emerging Technologies
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GeoNode - Spatial Data Management Platform Technology
GeoNode
A new approach to spatial data infrastructure focused around users and
collaboration
Simple web-based tools
• Edit metadata in the same place
• Privacy controls to restrict access as needed
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Add Data From External Source
WMS Map Server
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Add Data From External Source
GeoRSS Feed
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Add Data From External Source
ArcGIS Server
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Share Map
<h1>Earthquake with Magnitude of 2.5 or more in past 7 days <h1>/ <iframe height="400" width="600" src="http://worldmap.harvard.edu/maps/2265/Ehc/embed"></iframe>
Copy the html code
Paste the html code in your web application
Map is embedded in the Web Application
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Designed for Customization
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Community Based Mapping
Collective Knowledge of the People Wikipedia Open Street Map
From Knowledge
To Data
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Students learning on use of mobile mapping technology in Dominica
Community Based Mapping
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Mobile Mapping
Use of Smartphone in capturing real time data
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From Data to Decision
• Belize Climate Resilience Infrastructure Project
• Dominica Shelter Vulnerability Assessment
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From Data to Decision
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CLIMATE CHANGE ADAPTATION DECISION SUPPORT TOOL
Physical vulnerabilit
y
Characterization
Condition
Adequacy to withstand flooding
Use & Operational
Characteristics
Adequacy regarding the
current demand / level
of use
Adequacy regarding
future / projected
demand / level of use
Dependency on the road
Economic Parameters
Connectivity between
Industrial, Production
sites, Ports, Airports and
Border Crossings
Connectivity between Touristic Facilities, Touristic
Destinations, and Ports/ Airports/ Border
Crossings
Access to existing and
planned Markets
Access to identified
development sites related to tourism,
industry, markets etc.
Social Parameters
Access to educational
facilities
Access to workplaces
Access to services
Access of mobile
utilities, food and relief
services to the communities
Access to Socially
Vulnerable population
Health
Access to communities for primary
care
Access to health
facilities
Access to disease prone
areas
Connectivity within the
health system
Safety and Security
Compliance with design standards
Adequate placement of
signs and speed humps
Essential part of the
evacuation network
Environment and
Ecology
Ensure adequate
crossing of wildlife
along their traveling corridors
Rerouting required to
protect archeologic
al sites
Local Values
Source: BCRIP Team
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CLIMATE CHANGE ADAPTATION DECISION SUPPORT TOOL
INFRASTRUCTURE CRITICALITY
Driven by Belize key stakeholders (Ministries, Agencies)
MCE
RANKING OF ROAD SEGMENTS
HAZARDS EVALUATION
WB driven (Hazard Analysis based on occurrence of past events,
probabilistic assessments, etc)
HAZARD ANALYSIS:
HAZARD LEVELS
INTEGRATION HAZARD & CRITICALITY
INFORMED DECISION MAKING
Source: BCRIP Team