Spatial Data Management in the Caribbean

Bishwa PandeySr. Data Management SpecialistThe World Bank

bpandey@worldbank.org

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Flooding after Hurricane

Earthquake Haiti

Typhoon Haiyan - The Philippines

Latin America and the Caribbean (LAC ) region is one of the most vulnerable region with respect to natural disasters

20 countries in LAC region have half of the GDP exposed to natural disasters

Damages due to natural hazards happen because of HOW and WHERE we build

The key is using geospatial data in decision making process

Building resilience and better decision-making

Exiting Spatial Data Situation in the Caribbean

Data challenges

1. Availability2. Access3. Quality4. Format5. Vintage6. Use

No comprehensive

Data Sharing

mechanism

Meaning of Data Depends on Context

The Pale Blue Dot - Image of Earth taken on 1990 by Voyager from 6 billion kms away

We are here

Treating Spatial Data as a National Asset

National Policy

Data Inventory

Quality

Relevance

Data Gap

Policy/Guidelines/Standards

Data Inventory

Resource/Capacity inventory

Collaboration Framework of Spatial Data Infrastructure (SDI)

Data maintenance

Line Ministries

Other SectorsNGOs/Private Sectors/Users

Line Ministries

Data Provider End Users

Data Platform

Other SectorsNGOs/Private Sectors/Users

IT support

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.

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.

Caribbean OpenDRI

Current Activities to promote OpenDRI

• Institutional Support

• Technical Support

• Innovation

• Capacity Building

• Knowledge Exchange

• Partnership

BelizeHaiti

DominicaSt. Lucia

SVGGrenada

Guyana

Countries Currently engaged

Haiti www.haitidata.org

St. Lucia http://sling.gosl.gov.lc/

SVG http://geonode.gov.vc/

Dominica www.dominode.net

Grenada Intranet version only

Belizehttp://

geoserver.bnsdi.gov.bz/

Guyana Coming soon

One of the largest community of practitioners with over 150 activecommunity members

Six Pillars of OpenDRIIn

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Capacity Building

Two regional workshops have been conducted on data management practices in the Caribbean.

Training/Workshop Date Location

Spatial Data Management Training January, 2013 Belize

Advanced Training on spatial data management Feb. 18-23, 2013 UWI - Trinidad

DVRP Data Management Workshop Fall 2013 SVG

Regional Workshop on Guyana- Conservancy Adaptation Project

March 2014 Guyana

Caribbean Risk Information Program – Kickoff TBD TBD

Knowledge management and exchange

Strong community of practitioners - about 80 active participants (around 150 in total)

Webinars

Continuous engagement with community of practitioners

OpenDRI Tools

GeoNode - Collaborative data sharing

InaSAFE - Deterministic risk analysis

CAPRA - Probabilistic risk assessment

QGIS – Open Source Desktop GIS

OSM - Participatory mapping

Open Data Tool Kit – Mobile data collection

Location, Footprints (Buildings, Assets)

Primary characteristics – Geometry, 0rientation, construction class, occupancy, roof types, roof geometry, roof slope, roof built, wall, stories, age, foundation, ornamentation … etc

Secondary characteristics - Soft story, Pounding by nearby buildings, loose debris, Trees, Large missile object, Terrain roughness, Irregular structure, Retrofit, Glass material type… etc

Exposure DatabaseSpatial Data layers and attributes

Creating a Exposure GIS Database

SVG, Situation of St Mary's RC School (Source: INES Ing.; June 2013)

Dominica, GIS database schools (Source: Dominode)

Today’s Take

Exposure Data Collection

Field Data Collection1. Using GPS and paper based form2. Using Smartphones

Using the data

3. Download/upload collected field data

4. Visualization and interpretation of data

Quantum GIS (QGIS)

Open Source Desktop GIS with rich functionalities

Has Multiple plugins to connect and interoperate with Desktop and mobileSystems

Easy to use

www.qgis.org for free download of the software and documentation

What is common on all of these?

GPS

How Global Positioning System (GPS) Works

• Space-based satellite navigation system,

• Location and time information in all weather,

• Anywhere on or near the Earth, where there is an unobstructed line of sight to four or more GPS satellites,

• Freely accessible to anyone with a GPS receiver.

• US Government - NAVSTAR• Russian - GLONASS• Europe - Galileo Under implementation• China and India Under implementation

A new frontier in (GIS) data collection?

Data collection using smartphones

What is wrong in these pictures?

Traditional Field Survey

Matching and downloading

Desktop post-processing

Upload to Server

+ + +

Post Processing of Data

Mobile Data Collection - What is it?

Create you own data collection form

Collect (real time) data using smartphone

Store data (offline) on smartphone and/or send it to server for publishing/sharing

From fieldwork to your server

Use of Smartphone in capturing real time data

Why do we need it?

Real time data

Efficiency in data collection

Complete integration

Data driven application