Flood displacement viewer
Four municipalities · scores compare within a municipality, never across
drag to pan · scroll to zoom · shift-drag to tilt and rotate · double-click to reset
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Where is flood vulnerability highest?
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Rank within municipality
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Unscored (Biarong)
Taller and darker = more vulnerable. Hover a barangay for its rank, tier and pillars.
Ranking
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Pillars, equal weights
Exposure (HAND) · Sensitivity · Adaptive capacity
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What kind of settlement is it?
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Predicted class · 150 m cells
ISF — informal settlement
Planned — subdivision or resettlement
Rural
Unscored (Biarong)
Top five by vulnerability
Survey point — one household
Zoomed out, the points gather into one badge per barangay, sized by its household count.
Each block is a real building footprint, coloured by the class of the 150 m cell it sits in and raised by the model's confidence. Faded buildings sit in a barangay with fewer than ten cells. Sites with no footprints staged fall back to enlarged cells.
Class shares here
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Sampling effort here
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Slovin n = 400 per AOI. Allocated across barangays by population weighted 4:3:2:1 on the vulnerability tier (Severe to Low), then split equally between the typology classes each barangay actually has. Every point sits inside a real building footprint, one household per building.
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Trained on 91 labelled cells, all in one other municipality (Rodriguez).
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space = step · the stepper is a tool, not a result
1 · Survey marginals
per stratum
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2 · Policies
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3 · Model coefficients {{ coefToggleLabel }}
Panizza (2024) estimates, not survey-filled
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Step ▸
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Building the model…
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Stayed
Evacuated before flood
Evacuated after flood
Immobile (trapped)
pre-flood evacuatedpost-flood evacuatedimmobility eventscurrently displaced
Hazard severity {{ severity }}
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Scripted flood years clear
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