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L A T E S T I N T E L L I G E N C E
ENHANCING THE ANALYSIS, INTERPRETATION, AND USE OF GEOSPATIAL DATA WITH ARTIFICIAL INTELLIGENCE
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Not just a tool, but the tectonic shift for geospatial.”
At a time when most industries are starting to feel the influence of AI, the geospatial sector is at a transformation point. Idox Geospatial’ s Nicholas Duggan FRGS CGeog( GIS), shares how we’ re integrating AI across multiple areas of our work – with compelling results.
At Idox Geospatial, we’ re always looking to push the boundaries of what’ s possible with geospatial data. Indeed, it’ s a key part of my role here as Research and Innovation Manager, and it’ s clear that AI is not just a tool, it represents a tectonic shift for the geospatial sector.
Here are just a handful of examples:
Unlocking Local Plan intelligence
Local Plans are essential for controlling development and identifying growth in communities across the UK. However, extracting structured data from these long, map-heavy PDF documents has traditionally been a slow and manual task – made more complex by inconsistencies in formats and embedded spatial data.
To streamline this process, we’ re developing a prototype AI tool that goes beyond reading these documents – it understands them.
• Processes embedded maps, reorienting and geo-referencing them to their real-world UK locations
• Outputs structured data for quick verification and analysis �
The proximity advantage
From infrastructure to insurance, property to public services, proximity analysis is helping organisations turn spatial context into strategic action.
An Idox Geospatial report.
The technology is already reshaping how we process, interpret and act on spatial information. From planning analysis to software development and licensing, through to helping to improve outcomes for clients across the public and private sectors, the opportunities are extensive.
What does it do?
• Identifies change in policies or plans where it occurs
• Extracts textual information using advanced natural language processing( NLP)
What’ s nearby now defines what’ s
Location has always mattered – but today, it’ s no longer just about a point on the map. Increasingly, the value of a location is shaped by what surrounds it: proximity to infrastructure, to risk, to opportunity, to constraint.
Whether it’ s access to utilities, distance from environmental hazards( e. g. flooding), tree canopy or many other critical variables, proximity analysis is fast becoming a vital tool for organisations that need to make databacked decisions about the real world. The shift is clear: from reactive mapping to proactive modelling.
Getting ahead of the curve
Across the UK, organisations( across many sectors, see over) are using proximity analysis not as a specialist tool, but as a strategic necessity. They’ re using it to model new risk exposures, identify planning opportunities, streamline asset rollout, and justify public and private investment.
Where once teams relied on fixed boundaries and coarse zones, they now ask sharper, spatially-aware questions:
• What’ s within 250m of this site?
• How close is it to a flood zone, a school, or a planned road?
• How does the surrounding context shape our risk, our cost, or our
The answers are no longer vague – and the organisations that can extract them quickly are gaining a clear advantage.
Building confidence through geospatial insight
GRIDSERVE, one of the UK’ s leading providers of electric forecourts and charging hubs, has put proximity analysis at the heart of how it identifies, evaluates and justifies development sites. Their geospatial team combines location data with commercial strategy to make confident, justifiable decisions.
“ We have to base our commercial decisions on solid foundations,” explains Rob Stapleton, GRIDSERVE’ s Geospatial Manager.“ We have to be able to justify them. And the only way to do that is by taking a data-driven approach.”
Rob and his team now assess everything from grid access and planning constraints to Points of Interest and Land Registry boundaries. The goal isn’ t just to know where a site is – but how it sits in relation to everything else that
“ We weren’ t really data-driven [ in the past ]. Nobody had gone looking for it,”
“ So I started identifying potential data sources and running workshops with our strategic teams to figure out what was
That exercise led to the creation of a full geospatial stack – one that incorporates topographic data, utility layers, planning policy, population density, and more. And thanks to partners like Idox Geospatial, the team now has access to high-quality, validated datasets that improve both speed and
“ We get MasterMap data through Idox Geospatial, and the quality of what we get through Idox is a lot better than what we were getting previously from other suppliers,” Rob says.
Proximity across sectors: From insight
Proximity analysis is no longer a niche tool for planners or developers within the property sector – it’ s becoming a core method of evaluating risk, opportunity and compliance across many different, including( see over):
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