Skip to content
Sign in
Home›Data Viz Challenge›Visualisation catalogue

EXPLORE THE GALLERY

Data Visualization Catalogue

Every visualisation produced by students through the Resilience Academy Data Visualization Challenge — each one addressing a real urban resilience problem in a Tanzanian city, using open data and open-source geospatial tools.

32

Visualisations

4

Editions

511

Students engaged

7

Partner institutions

All editions2025/262022/2320202019

Showing every visualisation in the catalogue

Carbon sequestration to address urbanization — Mikocheni, Dar es Salaam2020
ud83cudfc6 Winner
2020|Conservation Group|Urban tree distributions|QGIS
Urban tree distributionsConservation Group

Carbon sequestration to address urbanization — Mikocheni, Dar es Salaam

A map of carbon sequestered by 500 trees in Mikocheni, Dar es Salaam: each tree is sized by how much CO2 it has removed from the atmosphere and grouped into low, medium and high storage classes, with an above-ground biomass distribution and an animation of CO2 uptake over a growing period.

QGIS

View visualisation →
Visualizing Population Pressure and Drainage Infrastructure Gaps in Mwanza City2025
ud83cudfc6 Winner
2025|The Winners Group|Mwanza flood risk, water security & infrastructure|Google Earth Engine, Python, QGIS
Mwanza flood risk, water security & infrastructureThe Winners Group

Visualizing Population Pressure and Drainage Infrastructure Gaps in Mwanza City

A ward-level choropleth of Mwanza that classifies every ward by the gap between population pressure and drainage coverage - excessive, high, moderate, low and very low - so municipal planners can see at a glance which wards to prioritise for drainage investment. High-contrast pressure classes, hover pop-ups and a plain legend keep it readable for non-technical audiences.

Google Earth Engine, Python, QGIS

View visualisation →
Visualization of drainage bottleneck locations, Zanzibar town2020
ud83cudfc6 2nd place
2020|Galaxy Group|Drainage bottleneck locations|Leaflet.js, OpenStreetMap, QGIS, Tableau
Drainage bottleneck locationsGalaxy Group

Visualization of drainage bottleneck locations, Zanzibar town

An interactive view of the major threats behind drainage blockage in Zanzibar town: where drains are blocked, the materials causing each blockage, and the flooding impact that follows when the drainage system fails to work as expected.

Leaflet.js, OpenStreetMap, QGIS, Tableau

View visualisation →
Rethinking urban traffic congestion2020
ud83cudfc6 3rd place
2020|Ripper Group|Integrated urban planning|ArcGIS
Integrated urban planningRipper Group

Rethinking urban traffic congestion

A predictive look at urban traffic congestion arguing that increasing highway capacity is unlikely to relieve it, presented as an ArcGIS story map that integrates different data types to identify planning challenges.

ArcGIS

View visualisation →
Allocation of organic and inorganic dustbins every 100 metres, Zanzibar2019
2019|Stars|Solid-waste collection planning|Leaflet.js, QGIS
Solid-waste collection planningStars

Allocation of organic and inorganic dustbins every 100 metres, Zanzibar

Proposes a pair of dustbins - one organic, one inorganic - every 100 metres along the road network of Zanzibar town, mapped against water, forest, land and residential zones.

Leaflet.js, QGIS

View visualisation →
An Interactive Urban Resilience Observatory for Evidence-Based Climate Change Adaptation in Tanga and Mwanza Regions, Tanzania2025
2025|Resilience Hub|Tanga & Mwanza urban growth / flood risk intersection|QGIS, React
Tanga & Mwanza urban growth / flood risk intersectionResilience Hub

An Interactive Urban Resilience Observatory for Evidence-Based Climate Change Adaptation in Tanga and Mwanza Regions, Tanzania

A unified web observatory that visualises vulnerability spatially across Tanga and Mwanza, combining flood hazard, population, water, health and infrastructure data into interactive maps that run from high-risk (red) to resilient (green), with drill-down from city-wide view to individual ward and generated reports for decision-makers.

QGIS, React

View visualisation →
Analysing and solving flood problems with a digital elevation model — Kinondoni2019
2019|The Changemakers|Story of past floods|QGIS
Story of past floodsThe Changemakers

Analysing and solving flood problems with a digital elevation model — Kinondoni

Builds a digital elevation model of Kinondoni to reveal the relief of the land, and uses it to reason about drain direction, where infrastructure and construction should go, and where water catchment lies.

QGIS

View visualisation →
Atlas for the solid waste collection system of Zanzibar City2019
2019|Unique|Solid-waste collection planning|QGIS
Solid-waste collection planningUnique

Atlas for the solid waste collection system of Zanzibar City

An atlas of the waste collection system of Zanzibar City showing where collection points are available across each shehia, so gaps in coverage can be seen at a glance.

QGIS

View visualisation →
Capacity of drainage routes — Zanzibar Urban region2019
2019|A Jalil|Flood-risk communication|QGIS
Flood-risk communicationA Jalil

Capacity of drainage routes — Zanzibar Urban region

A map of the capacity of Zanzibar Urban's existing drainage system, showing where solid waste blocks the drains and causes water to overflow into settlements, and what would reduce the impact of flooding.

QGIS

View visualisation →
Climate-Smart Flood Susceptibility Assessment and Infrastructure Planning along the Mirongo River Corridor, Mwanza City, Tanzania2025
2025|GeoAdaptive Mappers|Mwanza flood risk, water security & infrastructure|Excel, Google Earth Engine, Python, QGIS
Mwanza flood risk, water security & infrastructureGeoAdaptive Mappers

Climate-Smart Flood Susceptibility Assessment and Infrastructure Planning along the Mirongo River Corridor, Mwanza City, Tanzania

An AHP-weighted flood susceptibility index for Mwanza City combining elevation, slope, TWI, NDVI, soil type, land use/cover, distance to river and rainfall, validated against observed floods, with a 2015/2020/2025 land-use-change analysis showing high-risk zones spreading fastest in rapidly urbanising peri-urban wards.

Excel, Google Earth Engine, Python, QGIS

View visualisation →
Dar es Salaam vulnerable areas exposed to floods — 2D and 3D2019
2019|Yonda Group|Flood-risk communication|Leaflet.js, QGIS
Flood-risk communicationYonda Group

Dar es Salaam vulnerable areas exposed to floods — 2D and 3D

Visualises the flood-vulnerable areas of Dar es Salaam from the coast to Jangwani in both normal and 3D maps, showing as a percentage how likely each area is to be flooded.

Leaflet.js, QGIS

View visualisation →
Data visualisation on solid waste collection in Ubungo Municipality2019
2019|SUA Group Two|Solid-waste collection planning|QGIS
Solid-waste collection planningSUA Group Two

Data visualisation on solid waste collection in Ubungo Municipality

Breaks down where the solid waste of Ubungo Municipality comes from - households, commercial, institutional and construction or agricultural sources - and follows it through the collection system.

QGIS

View visualisation →
Drainage bottlenecks in Dar es Salaam2020
2020|Environmental Group|Drainage bottleneck locations|QGIS
Drainage bottleneck locationsEnvironmental Group

Drainage bottlenecks in Dar es Salaam

A density surface of drainage bottlenecks across Dar es Salaam — the points where sediments, solid waste and plant roots hinder water from passing through the drainage system — so planners can assess where flood hazard is most likely.

QGIS

View visualisation →
Flood risk assessment based on waste collection points near the drainage system in Zanzibar2020
2020|Best Wings Group|Integrated urban planning|Leaflet.js, QGIS, Web mapping
Integrated urban planningBest Wings Group

Flood risk assessment based on waste collection points near the drainage system in Zanzibar

An interactive platform that shows where waste collection points sit close to the drainage system in Zanzibar, animates water flow through blocked and unblocked drains, and highlights the buildings at highest risk of flooding as a result.

Leaflet.js, QGIS, Web mapping

View visualisation →
HydroPredict AI — AI-Driven Flood Risk & Urban Growth Visualization2025
2025|HydroPredict AI|Mwanza flood risk, water security & infrastructure|HydroSHEDS, Machine Learning, OpenStreetMap, Sentinel-2 imagery, SRTM DEM
Mwanza flood risk, water security & infrastructureHydroPredict AI

HydroPredict AI — AI-Driven Flood Risk & Urban Growth Visualization

Machine learning and satellite imagery predict flood vulnerability in Mwanza and visualise where it intersects with urban expansion. A time slider runs 2015-2026, an AI risk explorer ranks zones by risk score, and smart policy pop-ups return "no-build zone" or "safe expansion zone" recommendations for planners, responders and policy makers.

HydroSHEDS, Machine Learning, OpenStreetMap, Sentinel-2 imagery, SRTM DEM

View visualisation →
Ilala District waste count2019
2019|Alpha II|Solid-waste collection planning|QGIS
Solid-waste collection planningAlpha II

Ilala District waste count

A choropleth of Ilala District classifying every ward by the number of recorded waste points, from 0-23 up to 1,097-1,321, so collection effort can be matched to where waste actually accumulates.

QGIS

View visualisation →
Impediments for drainage bottleneck visualization and risk analysis, Zanzibar2020
2020|Bright Points group|Drainage bottleneck locations|Leaflet.js, OpenStreetMap, QGIS, Web mapping
Drainage bottleneck locationsBright Points group

Impediments for drainage bottleneck visualization and risk analysis, Zanzibar

A web map of every blocked drainage path in Urban West, Zanzibar, classified by the material causing the blockage — solid waste, metal, plants, dirt or concrete — with the threats of flood and disease that follow from each bottleneck.

Leaflet.js, OpenStreetMap, QGIS, Web mapping

View visualisation →
Interactive and sufficient waste collection system in Zanzibar City2019
2019|Jamila Group|Solid-waste collection planning|QGIS
Solid-waste collection planningJamila Group

Interactive and sufficient waste collection system in Zanzibar City

Traces waste from the city bin at each household, to the community bin, to the middle dump and finally to the main dump at Kibele - showing the chain municipalities are responsible for and where it should simplify.

QGIS

View visualisation →
Mwanza Victoria Basin Water & Flood Visualization2025
2025|Faulicious Group|Mwanza flood risk, water security & infrastructure|GeoJSON, QGIS, Web mapping
Mwanza flood risk, water security & infrastructureFaulicious Group

Mwanza Victoria Basin Water & Flood Visualization

A GIS-based interactive platform that brings seven critical layers - flood risk, elevation, population, infrastructure, land use and rivers - into a single map interface, with an analytics dashboard summarising population at risk by ward so planners and emergency teams can see risk, exposure and infrastructure in one place.

GeoJSON, QGIS, Web mapping

View visualisation →
Optimization system of solid waste collection points, Zanzibar2019
2019|Nameless|Solid-waste collection planning|QGIS, Web mapping
Solid-waste collection planningNameless

Optimization system of solid waste collection points, Zanzibar

An interactive map proposing an optimised set of solid waste collection points for Zanzibar City, so collection routes cover more households with fewer stops.

QGIS, Web mapping

View visualisation →
Proximity of hazard and risk areas of floods, Zanzibar2019
2019|Behifa|Flood-risk communication|QGIS
Flood-risk communicationBehifa

Proximity of hazard and risk areas of floods, Zanzibar

Communicates flood hazard and flood risk to local communities by mapping how close housing estates sit to the flood receptor - showing that where hazard and risk areas overlap, people meet flood damage first.

QGIS

View visualisation →
Ripper’s data visualisation — solid waste flow and risk mapping2019
2019|Ripper|Solid-waste collection planning|QGIS
Solid-waste collection planningRipper

Ripper’s data visualisation — solid waste flow and risk mapping

An interactive map and infographic pairing risk source, risk pathway and risk receptor into a combined flood hazard and risk map for solid waste in Dar es Salaam.

QGIS

View visualisation →
Shutting of the drainage system at risk of being blocked by solid waste, Zanzibar2019
2019|JRBartist|Solid-waste collection planning|QGIS
Solid-waste collection planningJRBartist

Shutting of the drainage system at risk of being blocked by solid waste, Zanzibar

Maps the drainage network of Zanzibar against solid waste points and flood-prone areas, highlighting the stretches of drain most at risk of being blocked.

QGIS

View visualisation →
Solid waste collection plan — Kinondoni Municipal2019
2019|Felix Lyoba Group|Solid-waste collection planning|QGIS
Solid-waste collection planningFelix Lyoba Group

Solid waste collection plan — Kinondoni Municipal

Maps the solid waste collection points of Kinondoni Municipal and how waste reaches them - cleaned up by hand or by mshine - across the municipality.

QGIS

View visualisation →
Solid waste collection plan for Tanzanian cities — the case of Dar es Salaam, Ubungo Municipal2019
2019|Brilliant|Solid-waste collection planning|QGIS
Solid-waste collection planningBrilliant

Solid waste collection plan for Tanzanian cities — the case of Dar es Salaam, Ubungo Municipal

A study of the consequences of solid waste in both planned and unplanned settlements of Ubungo Municipality, comparing three wards - the informal settlements of Manzese and Mabibo against planned Sinza - and its effect on drainage, rivers, roads, houses and open spaces.

QGIS

View visualisation →
Solid waste collection plan for Tanzanian cities — Ubungo Municipality, Dar es Salaam2019
2019|Alpha|Solid-waste collection planning|QGIS
Solid-waste collection planningAlpha

Solid waste collection plan for Tanzanian cities — Ubungo Municipality, Dar es Salaam

A trash-point atlas of Ubungo Municipality mapping every recorded trash point per subward against households, roads, electronics and plastics, and proposing a dumping site from the resulting distribution.

QGIS

View visualisation →
Story of past floods for better situation analysis2019
2019|Camillus Group|Story of past floods|QGIS
Story of past floodsCamillus Group

Story of past floods for better situation analysis

Maps the houses located in vulnerable areas against evacuation centres roughly 200m away, so that government officials know which local residents to relocate or shift away from flood-prone areas.

QGIS

View visualisation →
TakaCycle — a smart waste collection project for zero waste, Kinondoni Municipal2019
2019|TakaCycle|Solid-waste collection planning|QGIS
Solid-waste collection planningTakaCycle

TakaCycle — a smart waste collection project for zero waste, Kinondoni Municipal

A visualisation of solid waste collection points in Kinondoni, their placement and means of access, built to help municipalities and waste collection companies monitor collection strategy and to connect recycled waste back to Urban Waste Crisis innovators.

QGIS

View visualisation →
Urban Growth and Flood Risk Intersection — Mwanza & Tanga2025
2025|Urban Futures|Tanga & Mwanza urban growth / flood risk intersection|ArcGIS, Google Earth Engine, Leaflet.js, Machine Learning, QGIS
Tanga & Mwanza urban growth / flood risk intersectionUrban Futures

Urban Growth and Flood Risk Intersection — Mwanza & Tanga

A web-based decision-support dashboard that maps urban growth from 2017 to 2025 against flood risk for Mwanza and Tanga, and lets planners simulate what-if futures - population growth 1-3%, flood recurrence 10-50 years, strict or moderate land-use policy - with maps and charts updating instantly to compare outcomes.

ArcGIS, Google Earth Engine, Leaflet.js, Machine Learning, QGIS

View visualisation →
Visualisation maps of solid waste, Dar es Salaam2019
2019|SUA Group One|Solid-waste collection planning|QGIS
Solid-waste collection planningSUA Group One

Visualisation maps of solid waste, Dar es Salaam

A set of maps of solid waste across the Dar es Salaam coastline from Mbweni to Bunju, produced for the Kinondoni municipal solid waste management proposal.

QGIS

View visualisation →
Visualization of urban tree distribution and its importance for urban forestry management — Nungwi, Zanzibar2020
2020|Conquerors Group|Urban tree distributions|Leaflet.js, OpenStreetMap, QGIS
Urban tree distributionsConquerors Group

Visualization of urban tree distribution and its importance for urban forestry management — Nungwi, Zanzibar

A tree-by-tree map of Nungwi classifying every urban tree by type — big, boundary, fruit, medicine, ornamental and shade trees — so that forestry managers can see the distribution against roads and buildings.

Leaflet.js, OpenStreetMap, QGIS

View visualisation →
Visualization of urban tree distributions and suitable areas for planting, Dar es Salaam2020
2020|Geoinformatician Group|Urban tree distributions|Excel, QGIS
Urban tree distributionsGeoinformatician Group

Visualization of urban tree distributions and suitable areas for planting, Dar es Salaam

Three linked views: the loss of green cover between 1996 and 2008 from Landsat imagery, the pilot tree mapping data for Dar es Salaam, and a suitability surface showing where more urban trees could be planted.

Excel, QGIS

View visualisation →

PARTNER WITH US

Have a data challenge for students?

Bring a real problem and a dataset, and a student team will turn it into a visualisation that supports a decision. Every solution in this catalogue started that way.

Become a partnerAbout the challenge