Abdullah Abdazeez Ayomide — Geospatial Planner
Urban & Regional Planner · GIS & Remote Sensing · Spatial Decision Support
Planning better places with geospatial data.
LinkedIn · Email · GitHub · Nigeria
I am an Urban and Regional Planner developing a research and professional focus at the intersection of geospatial science, environmental change and sustainable planning. I use GIS, Earth observation, spatial modelling and data-driven methods to understand how cities and environments are changing, where people and places are most vulnerable, and how spatial evidence can support better decisions.
| Case study | Planning question | Key evidence / approach |
|---|---|---|
| Ibadan — Land-use change & urban expansion | How has Ibadan changed between 2013 and 2023? | Built-up land increased from 99.866 km2 to 330.177 km2; final locked holdout: 14/16 correct. |
| Abuja — Urban-growth scenario | Where could Abuja's urban footprint expand by 2035? | Historical LULC transitions, CA–Markov modelling and urban-growth suitability were combined to develop a planning scenario. |
| Lokoja — Flood hazard & risk | Where is flood hazard concentrated, and how robust is the result? | AHP/MCDA combined terrain, rainfall, drainage, land cover and exposure evidence with validation and sensitivity testing. |
| Lagos — Public transport accessibility | Who can reach formal transit within 30 minutes on foot? | 46.56% of the analysed population fell outside the threshold or behind a structural network gap. |
| Kano — Primary healthcare accessibility | Where is primary healthcare access weakest? | Analysis covered 1,584 PHCs, 484 wards and 16,789 demand cells using network accessibility, 2SFCA and scenario testing. |
| Northern Nigeria — Drought & vegetation monitoring | Where is vegetation declining without a matching rainfall decline? | MODIS vegetation indices and CHIRPS rainfall were used for long-term vegetation–rainfall trend analysis. |
| Enugu — Near-urban expansion suitability | Where is observed near-urban expansion more likely? | Extra Trees modelling, spatial validation and suitability mapping were used to examine expansion patterns. |
| Borno — Conflict & displacement | Where do multiple indicators point to settlement contraction or change? | VIIRS night-time lights, ACLED conflict events, WorldPop and displacement evidence were examined together. |
| Tartu — Green-infrastructure deficit | Where does local ecosystem-service demand exceed green capacity? | Sentinel-2, Dynamic World and spatial indicators were combined to map relative green-infrastructure deficit. |
| Ayetoro — Coastal vulnerability | Which buildings face the greatest relative coastal vulnerability? | 72.17% of 1,628 buildings fell in High or Very High relative-vulnerability classes. |
I start with the planning question, then choose the data and method around it. I separate observed evidence from model output, validate assumptions where possible and state limitations clearly. If a later review shows that an earlier result is weak, I would rather rebuild it than keep a polished result I cannot defend.
GIS & Remote Sensing — ArcGIS/ArcMap · QGIS · Google Earth Engine · Landsat · Sentinel-2 · MODIS
Python & Spatial Computing — GeoPandas · Rasterio · Pandas · NumPy · scikit-learn · OSMnx · NetworkX · Matplotlib
Planning Analysis — change detection · network accessibility · 2SFCA · CA–Markov · AHP/MCDA · suitability modelling · vulnerability assessment
My practical experience includes land-use change, flood and coastal risk, transport and healthcare accessibility, drought and vegetation stress, land suitability, displacement and urban green infrastructure. Across these areas, my goal is consistent which is to turn geospatial data into clear evidence that can support more sustainable, resilient and equitable planning.
I am interested in graduate study, research collaboration and early-career opportunities involving GIS, remote sensing, climate adaptation, coastal management, urban resilience, accessibility and spatial decision support.