Below are some of the projects and technical outputs we have contributed to. These showcase our experience in geospatial information systems (GIS), drone mapping, disaster risk reduction, infrastructure surveys, spatial analysis, and data management across the Pacific region. Each project reflects our commitment to delivering practical, data-driven solutions that support informed decision-making and resilient development.
Geographic Information System (GIS)
Geographic Information Systems (GIS) are powerful tools for capturing, managing, analyzing, and visualizing spatial and geographic data. By integrating location-based data with descriptive attributes, GIS enables users to understand patterns, relationships, and trends across space. It supports the transformation of raw geospatial data into meaningful information through mapping, spatial analysis, and modelling. GIS is widely used for decision-making in planning, environmental management, disaster risk reduction, infrastructure development, and resource management. It enhances the ability to assess real-world conditions, identify spatial relationships, and communicate complex geographic information in a clear and visual format, ultimately supporting more informed and evidence-based decision-making.
1.HIV/AIDS Prevalence and Testing Site Suitability Mapping – East New Britain Province
Contributed to a GIS-based public health mapping project focused on analysing HIV/AIDS prevalence patterns and identifying suitable locations for HIV testing service facilities in East New Britain Province.The project involved collecting, managing, and analysing spatial datasets to understand the geographic distribution of HIV/AIDS prevalence and assess accessibility to existing testing sites. Using GIS techniques, including spatial analysis and suitability modelling, the outputs supported improved understanding of service coverage gaps and informed potential locations for expanding health service access.
Spatial-temporal Analysis
Mapping of HIV/AIDS trend in East New Britain, PNG from 2012 -2014 based on statistics collected from testing sites in the province.Red shows the district that has the highest rated in 2024.
Spatial-temporal analysis can be applied to environmental change detection, infectious disease and outbreak monitoring, disaster risk assessment, infrastructure development trends, ecosystem dynamics, and climate variability analysis.
Suitable site analysis
The maps show the results of a suitability analysis used to identify optimal locations for proposed HIV testing sites in East New Britain Province. The analysis considered multiple factors, including accessibility (road networks), terrain slope, population distribution and village locations, as well as proximity to existing health facilities.
Similar multi-criteria spatial analysis can be applied to support the siting of healthcare facilities, schools, emergency response centres, infrastructure development, and other public service planning initiatives.
2.Exposure Modelling/Early Warning Systems in the Pacific Islands countries
Supported initiatives across Pacific Island countries that apply geospatial technologies, exposure modelling, and risk analytics to strengthen climate resilience, disaster risk reduction, and early warning systems.
The work involves developing and analysing spatial datasets, including infrastructure assets, buildings, population information, hazard exposure data, and field survey outputs, to improve understanding of risks faced by communities and critical infrastructure.
The resulting geospatial information supports climate change adaptation, disaster preparedness, emergency response planning, resilient infrastructure development, and the establishment of effective early warning systems to support informed decision-making across the Pacific region.
Power BI Dashboards & Reports
Dashboards are powerful decision-support tools that transform complex datasets into clear, interactive, and meaningful visualizations. By combining maps, charts, graphs, tables, and key performance indicators into a single interface, they enable users to explore data, identify trends and patterns, monitor performance, and communicate information effectively. Interactive dashboards support evidence-based decision-making by providing timely access to critical information, improving situational awareness, and enabling stakeholders to make informed decisions more efficiently.
Building dashboard using PowerBI for DRM
Developed using GIS datasets and Microsoft Power BI, the dashboard demonstrates how spatial data and business intelligence can be combined to transform complex datasets into meaningful insights for evidence-based decision-making. Dashboards play a critical role in modern organizations by providing a centralized platform to visualize, monitor, and analyze large volumes of information in real time. They enable decision-makers to quickly identify trends, compare indicators, track performance, and communicate complex information in a clear and intuitive manner.
The dashboard (photo left) provides a comprehensive visualization and analysis of building replacement costs across Tonga, integrating geospatial data with asset information to support infrastructure planning, asset management, investment prioritization, and strategic decision-making. Users can interactively explore building inventories through maps, charts, tables, and filters, allowing them to analyze assets by island, district, village, building type, construction material, occupancy, ownership, floor area, replacement cost, and building condition.
This interactive web map presents the estimated replacement costs of critical infrastructure assets across Tongatapu, Kingdom of Tonga. This work was carried out under the PCRAFI II project and further improvements was done under the SURGE project.The valuation integrates exposure modelling, geospatial analysis, and infrastructure asset inventories to estimate the replacement cost buildings, roads, power infrastructure, water networks, telecommunications, ports, and other essential assets.
This work supports disaster risk reduction, climate change adaptation, infrastructure planning, and resilient investment by providing decision-makers with a spatial understanding of the distribution and value of exposed assets. Users can interact with the map to explore replacement cost estimates and gain insights that support risk-informed planning, emergency preparedness, and sustainable development.
To explore the map, click on any grid cell to view detailed information on the infrastructure assets located within that area, including the estimated replacement costs by asset category. The information displayed provides an overview of the total infrastructure value exposed within each grid.
To view the map legend and understand the asset categories and cost classifications, click on the Layer Panel located at the top right corner of the map.
Sea Level Rise
Sea level rise (SLR) is one of the most significant long-term climate change challenges facing Pacific Island countries and territories. Rising sea levels, combined with storm surges, coastal erosion, and extreme weather events, increase the risk of inundation, damage to infrastructure, loss of land, and impacts on communities, ecosystems, and livelihoods. Reliable spatial information is essential for understanding these risks and supporting climate adaptation, disaster risk reduction, land-use planning, and resilient infrastructure development.
How to Use the Dashboard
Zoom In/Out: Use the + and − buttons or your mouse scroll wheel to zoom in and out of the map.
Pan the Map: Click and drag the map to navigate around Tongatapu.
Layer List: Click the Layer List icon to turn map layers on or off.
Legend: Open the Legend to view the symbols and colours used on the map.
View Building Information: Click on a building to view its available attribute information, including the building use.
Basemap Gallery: Change the background map using the Basemap Gallery to view different map styles
The Tongatapu Sea Level Rise Dashboard, developed using Esri ArcGIS Online, provides an interactive platform for visualizing potential coastal inundation scenarios and their potential impacts on the built environment. The dashboard was developed using a 5 m Digital Elevation Model (DEM) and applies the MHWS tidal datum as the baseline water level. Sea level rise scenarios of 0.7 m, 1.0 m, and 2.0 m above MHWS are modelled using a static "bathtub" inundation approach to illustrate areas that may be susceptible to coastal flooding under each scenario.
The dashboard enables users to explore the spatial distribution of buildings and other exposed assets to better understand potential exposure under each sea level rise scenario. The interactive maps support the visualization of affected areas and provide a useful tool for climate change adaptation, disaster risk reduction, coastal planning, infrastructure management, and community awareness.
To protect privacy and respect data-sharing agreements, detailed building information such as construction materials, structural characteristics, ownership, replacement costs, and other sensitive attributes are not shown on the dashboard. Only building use classifications (e.g., residential, commercial, public, and industrial) are displayed to provide general context while safeguarding confidential asset information.
This dashboard demonstrates how geospatial analysis and web-based mapping can improve the communication of climate risk information and support evidence-based decision-making by governments, development partners, researchers, and other stakeholders involved in building resilient communities.
Supported capacity building initiatives across Pacific Island countries to strengthen government institutions' technical capabilities, knowledge, and systems for sustainable management and application of geospatial information.
The work involves designing and delivering technical training, mentoring, and knowledge-sharing activities for government staff and stakeholders in areas including GIS, spatial data management, exposure modelling, risk assessments, field data collection, hazard and vulnerability analysis, geospatial databases, and geospatial decision-support tools.
These capacity development efforts aim to promote long-term sustainability by strengthening local expertise, improving institutional capacity, supporting effective data management practices, and enabling Pacific governments to independently develop, maintain, and apply geospatial information for disaster risk reduction, climate change adaptation, early warning systems, resilient infrastructure planning, and evidence-based development decision-making.