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Task 3.2 – ( Land Use)/Spatial Indicators of Vulnerable communities. Friday 27 th April 2012 Patrik Karlsson Nyed GIS analyst, KU. Case cities. Dar Es Salaam. St Louis. Main objectives. Reveal spatial indicators which are relating to the vulnerability of communities . - PowerPoint PPT Presentation
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Task 3.2 – (Land Use)/Spatial Indicators of Vulnerable communities
Friday 27th April 2012
Patrik Karlsson Nyed GIS analyst, KU
Case cities
St Louis Dar Es Salaam
Main objectives
• Reveal spatial indicators which are relating to the vulnerability of communities.
• Map vulnerable communities and high risk areas.
Indicators
• What are they?Quantitative entities that provide information of wider significance than is actually measured
TIME-EFFICIENT decision-making and planning (instead of qualitative methods)
Comparisons across SPACE and over TIME
# Pinpoint most vulnerable communities – Space# Development between years – Time
• Why do we need them?
Task 3.2 – Workflow indicatorsInventory
First selectionHazard-type relevant
Second selectionSite-specific
Check data availability
Geodata processingAnalysis/Validation
Map making
Sharing with stakeholders
Expert surveyLiterature study
Local expert surveyRanking/Weighting?
African partnersOther sources (e.g. WWW)OOA (Digitizing/Segmentation)
Field surveysPurchase Decide MMU
Reduction indicatorsVulnerability Index
1
2a
2b
3
Workflow – step 1
• Expert survey/Literature study Long list of potential indicators
Less long list of potential indicators
• Exclude indicators less relevant to hazard type
InventoryFirst selection
Hazard-type relevant
Workflow – step 2a Second selectionSite-specific
• Local expert survey
Less long list of potential indicators
Short list of potential indicators
Municipality officials and University staff Community representatives
Workflow – step 2b Check data availability
• African partners
• Other sources (e.g. WWW)
• OOA (Digitizing/Segmentation)
• Field surveys
• Purchase
Task 2.2 – UMT (Urban Morphology Types)
Task 2.1 – Construction material buildings
Task 1.3 – DEM (Digital Elevation Models)
Workflow – step 3
• Geodata processing – Quantification of indicators using GIS
Geodata processingAnalysis/Validation
Map making
Short list of potential indicators
Mobility/Accessibility-Network Analysis
Proportion green areas
• Analysis/Validation – Stepwise regression analysis using vulnerability data from national census as validation
A few indicators (explaining most of the variation in vulnerability)
• Map making (overlay)
Create Vulnerability Index (using the final set of indicators)
Vulnerability of communities High risk areas
Spatial Indicator
• Preconditions (some necessary, others desired)
- Quantifiable in space
- Express variation
- Comprehensible
- Valid (measure what it is intended to)
- Achievable?
‘Short-cut proxy’
Mobility/Accessibility-Network Analysis
Proportion paved roads
- Field survey (doorway threshold) Official records of previous flood areas
Previous Hazard Experience
Sex ratio
Pop. size ???
Maps – Comparison across SPACERepeatable – Comparison over TIME
Constraints: Data accessBudgetKnow-how Future accessibility
Thanks for the attention
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