Geospatial analysis

I use geospatial analysis extensively in my own work and with clients. This often takes one of three forms:

• Directly measuring geographic features from Ordnance Survey and other data sources, like the size of gardens or the amount of green space in a neighbourhood, as a quantitative input to a model. Examples include inputs to my house price models and measures of natural capital that I have developed for the RSA.
• Using machine learning to identify objects from satellite imagery. An example includes a project for an electric vehicle company to build a database of which UK properties have off-street parking.
• Using transport network data to understand the travel time between groups of economic actors. Examples include exploring the relationship between city connectivity and productivity in UK cities and between proximity to jobs and house prices across the UK.

Explore further

Some of this work can be seen in my blogs, like this one on the post-pandemic move to the suburbs and this interactive map fo house prices.

Use cases

If you need help with analysis with a spatial angle, get in touch to talk through the possibilities.