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Provincial Disaster Decision Support System

GIS Case Study

Provincial Disaster Decision Support System

A provincial decision-support platform for a disaster management agency covering forecasting, early warning and anticipatory action.

Domain

Disaster Management / Decision Support

Role

Full-Stack GIS Developer

Provincial Disaster Decision Support System

At A Glance

What Makes It Work

Province-wide GIS dashboard for preparedness and coordinated response

Weather layers: temperature, humidity, heat index, UV, pressure, cloud, wind and rainfall

24-hour animated timeline driving hexbin weather surfaces

Hazard scenarios, exposure assessments, resource mapping and inventory modules

Preparedness needs a different tool than response

The agency's existing tools were built for the moment of crisis: what is happening, where are the resources, who do we call. What they lacked was support for the weeks before: assessing which districts were most vulnerable to which hazards, building scenarios, mapping where resources actually were, and coordinating anticipatory action so that a forecast event was met with a plan rather than a scramble. This decision-support system was built for that earlier phase. It covers forecasting, early warning and anticipatory action across the province, and it is designed for planners as much as duty officers.

Scenarios, assessments and resources

The platform is React with Mapbox GL JS on a Django back end. Its foundation is a province-wide GIS dashboard with basemaps, administrative boundaries and the operational layers the agency maintains. Weather layers, temperature, humidity, heat index, UV and pressure, carry per-parameter legends and calibration, and a 24-hour animated timeline drives hexbin weather surfaces across the province. The decision-support modules sit on top. A hazard scenario builder lets planners define an event and its extent; the exposure assessment module reports what falls within it. The multi-hazard vulnerability and risk assessment module scores districts across hazard types, which is the basis for prioritising preparedness spending. Resource mapping, an inventory and an emergency contact register put the agency's assets and people on the same map as the hazards, so a scenario can be checked against what is actually available nearby.

Planning before the event

The agency now runs seasonal preparedness from the system: risk-ranked districts, pre-positioned resources checked against scenarios, and contact registers that are current because they are used. When a forecast event arrives, the scenario has usually already been built. This platform and the basin flood early-warning system serve the same agency and share a design language, but they answer different questions at different times. One is about the coming days, this one is about the coming season. Building both taught us that decision support is mostly about making the right information available at the right stage, which is a data-architecture problem before it is a mapping one, and one we approach through our AI and data consulting as much as through GIS engineering.

Capabilities

Core Functionality

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Provincial GIS dashboard with basemaps, administrative boundaries and alert layers

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Weather layer group with per-parameter legends and calibrated colour ramps

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Hazard scenario builder and exposure assessment modules

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Multi-hazard vulnerability and risk assessment module

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Resource mapping, inventory and emergency contact registers

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Weather models, weather forecast and consensus forecast views

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Content management, user management and archive tools

Technologies

Tools & Stack

Frontend: React
Mapping: Mapbox GL JS
Backend: Django (Python)
Database: PostgreSQL + PostGIS
Deployment: Linux / Nginx

Questions

Frequently Asked Questions

How does the risk assessment work?

The multi-hazard vulnerability and risk assessment module scores each district across the hazard types the province faces, combining exposure, vulnerability and hazard likelihood. The scores rank districts for preparedness prioritisation and can be recalculated as inputs change.

Can planners build hypothetical scenarios?

Yes. The hazard scenario builder defines an event type and extent, and the exposure assessment module reports population, settlements and infrastructure within it. Scenarios are saved and can be compared against actual events afterwards.

Is resource mapping kept current?

Resource mapping, inventory and the emergency contact register are maintained by the agency through the platform itself, so they stay current because they are the working record rather than a copy. Updates are visible on the map immediately.

How does this differ from the flood early-warning system?

The early-warning system is about the coming days for one river basin, sensors, forecasts and historical extents. This system is about the coming season for the whole province: vulnerability, scenarios, resources and coordination. They share an agency and a design language but answer different questions.

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