GIS & GEOSPATIAL ANALYST · CARTOGRAPHY · SPATIAL ANALYSIS
GIS, cartography and spatial analysis across environmental modelling, planning, mobility and field-to-GIS workflows.
From a spatial question to a map that can support a decision.
GIS · CARTOGRAPHY · SPATIAL ANALYSISThe practice
I move between data, field evidence, analysis and cartographic design. The goal is not to make more maps — it is to make the important spatial relationship easier to see.
Selected spatial stories / 04
These are not presented as a gallery of finished maps. Each story starts with a spatial question, then follows the evidence to the map.
GREAT BRITAIN / SUITABILITYMSc research · spatial decision support
A climate–terrain–land-use model turns heterogeneous evidence into a transparent regional screening surface, then checks the pattern against 1,095 existing vineyards.
Explore the spatial story ↗Urban mobility · comparative GIS
Bristol and Utrecht become a spatial experiment: compare the network, put schools on top of it, then ask what the map can — and cannot — explain about everyday school travel.
BRISTOL × UTRECHT / SCHOOL ACCESS
LAKKI MARWAT / LANDSCAPE EVIDENCEEnvironmental atlas · planning
A sequence from physical landscape and environmental pressure through hazards, ecology and restoration suitability — designed as a decision atlas rather than a single thematic map.
Planning atlas · land-use thinking
A planning sequence built from land cover, buildings, services, commercial activity and infrastructure — showing how thematic layers can become a structured planning conversation.
See the supporting map archive ↗
Cartographic archive
A working archive of environmental, planning, terrain and research maps. The archive is not a dump of outputs: each plate is selected because it shows a different way of reading place.
Viticulture suitability
Bristol × UtrechtThe Map Room is the visual core of the portfolio. Some plates answer a research question; others show a method, a landscape or a planning problem. The point is not to show everything — it is to show the strongest evidence of how I read place.
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14OPEN MAP ↗Method
The map is the last move. First comes the question, then the evidence, then the model, then the decision that the reader needs to understand.
What spatial decision are we actually trying to support?
Collect, clean, classify and validate the spatial inputs.
Weighted overlay, spatial statistics, interpolation, network analysis or terrain modelling.
Choose hierarchy, colour, scale and annotation so the result can be read quickly.
Research trajectory
I am interested in how GIS can turn environmental change, land-use pressures and spatial constraints into decision support that can be tested, explained and reproduced.
Current foundation → future PhD directionThe MSc viticulture project brought together climate, terrain and land-use evidence through multi-criteria evaluation and weighted overlay, with validation against 1,095 existing vineyard locations.
The wider portfolio explores suitability, flood susceptibility, environmental constraints, urban access and land-use planning. Together they point toward a broader question: how can spatial models support decisions when evidence is incomplete or changing?
Longer-term PhD interests sit at the intersection of climate-change impact modelling, remote sensing, land suitability, renewable-energy siting and reproducible geospatial workflows.
Not a finished PhD proposal. A trajectory: questions emerging from applied GIS work, methods that can be strengthened, and a clear interest in turning spatial evidence into defensible decisions.
About / professional practice
GIS & Geospatial Analyst · Land Surveying · Remote Sensing
I am a geospatial professional with 3+ years of combined GIS analysis and land-surveying experience across the UK and Pakistan. My work spans urban and environmental mapping, engineering and infrastructure, renewable-energy contexts, and research-led spatial analysis.
I like working across the full chain: capture or receive spatial data, validate it, analyse the pattern, then turn the result into a map or decision-ready output that another person can understand.
Ground information, coordinate data and design information brought into a reliable spatial workflow.
Raster and vector analysis, suitability modelling, QA/QC and Python/ArcPy workflows.
Maps and spatial narratives that make the analytical result legible without overstating what the data can prove.
Research · GIS · spatial problem