Understand
We begin with the decision or problem that needs to be addressed — not with a software choice or a dataset. What has to be decided, by whom, and on what evidence?
Home / Approach
Our ApproachFrom Problem to Intelligence
Good geospatial work is not a sequence of tools — it is a chain of decisions about data, method and interpretation, each of which has to hold. This is how we structure that chain.
Design
We identify the appropriate data, methodology, modelling framework and technology, and state the assumptions and limitations up front rather than discovering them at the end.
Analyse
We process and analyse spatial, environmental and Earth observation data using rigorous geospatial workflows — scripted wherever repetition or reproducibility demands it.
Validate
Outputs are reviewed through systematic quality-control procedures and, where possible, against appropriate reference information, field data or independent datasets.
Communicate
Complex analytical results are translated into clear maps, dashboards, reports and decision-support information that a non-specialist audience can act on.
Deliver
We provide practical outputs designed for continued use — editable data, documented methods and re-runnable scripts — not simply presentation material.
What You Receive
Deliverables designed to outlive the project
A project that ends with a PDF is a project that has to be repeated from scratch next year. Where the engagement calls for it, we hand over the working parts as well as the findings.
- Documented methodology and assumptions
- Structured, projection-consistent geodatabases
- Editable GIS layers and map documents
- Processing scripts and notebooks
- Model input/output datasets
- Analytical and technical reports
- Cartographic map series (print and digital)
- Dashboards and web applications
- Metadata and data dictionaries
- Handover briefing or walkthrough
Quality Control
How outputs are checked
- Coordinate reference system and datum consistency verified across every layer
- Source data provenance, resolution and acquisition date recorded
- Topology, geometry and attribute integrity checks
- Raster alignment, extent and no-data handling verified
- Model parameters documented with their sources
- Results cross-checked against reference data where available
- Sensitivity of key assumptions examined where it matters to the conclusion
- Cartographic review for legibility, classification and accessibility
Technologies
Technology-Agnostic. Solution-Focused.
Our workflows can integrate leading commercial and open-source geospatial technologies, programming environments and modelling frameworks. The tool follows the problem — never the other way round.
GIS
ArcGIS ProArcGIS OnlineQGISModelBuilder
Programming & Automation
PythonArcPyPyQGISGeoPandasRasterioGDAL / OGRNumPyShapely
Earth Observation
Google Earth EngineSentinel-1Sentinel-2LandsatMODISSRTM / Copernicus DEM
Environmental & Hydrological Modelling
SWATSWAT+InVESTRUSLESDRGIS-based Hydrological Models
Data & Visualization
PostgreSQL / PostGISSQLite / SpatiaLiteLeafletDashboardsREST APIsMatplotlib / Plotly
GeoAI & Machine Learning
scikit-learnRandom ForestGradient BoostingDeep LearningAutomated Feature Extraction
Software names are the property of their respective owners and are listed to describe technical capability only.
Common Questions
Before you get in touch
We only have a vague idea of the problem. Is that too early?
No — that is usually the best time. The first stage of our process is defining the decision that needs support. It is far cheaper to shape the analytical question properly at the start than to redo the analysis once the scope becomes clear.
What data do you need from us?
It depends on the project. Many analyses can be built entirely from open datasets — satellite imagery, DEMs, global land-cover and climate products. Where you hold local data (field surveys, cadastral layers, monitoring records, model outputs), it usually improves accuracy, and we will tell you clearly what would make the biggest difference.
Can you work with our existing GIS environment?
Yes. We deliver in the formats and coordinate systems your team already uses — file geodatabases, shapefiles, GeoPackage, PostGIS, GeoTIFF, ArcGIS Online items — and we can script workflows to run inside either ArcGIS Pro or QGIS.
Will we be able to re-run the analysis ourselves later?
Where the engagement includes it, yes. Automation is a core part of what we do: scripted workflows, documented parameters and re-runnable tools mean the analysis can be repeated when new data arrives, without commissioning the work again.
Do you handle confidential or sensitive data?
Yes. Data-handling terms, storage arrangements and non-disclosure requirements can be agreed before any data is transferred. Sensitive datasets are processed only for the agreed purpose and returned or destroyed on request.
How are projects priced?
Most work is quoted as a fixed price against a defined scope and deliverable list, once the objective and data situation are clear. Longer programmes and team-integration engagements can be arranged on a retained or time-based basis.
Ready to define the problem properly?
Send us the decision you need to make and whatever data you already hold. We will come back with a proposed methodology, the data it would need, and an honest view of what it can and cannot tell you.