I work as an independent geospatial analyst, building this for architects, planners, research organisations, and agencies.
Three kinds of understanding, all of it delivered so people can actually use it.
What has changed here, and what drove it?
Reading the open satellite archive and historical spatial data as a time series: four decades of land-cover change, snowline and vegetation dynamics, a river's slow migration across its floodplain. This is often where a question should start: establishing a defendable record of how an area became what it is, so decisions aren't made against an assumed past.
What is actually happening in the environmental and human systems, right now?
Building the current picture from open data: how people actually move through a city (large GNSS trajectory sets, transit feeds), the state of the land and vegetation (Sentinel monitoring), the fabric and use of neighbourhoods. The environmental and the human are read together, as one baseline, because a decision about one always touches the other.
What happens if? And which option serves the landscape best?
Scenario models and optimisation that make possible futures comparable: the impact of a proposed transit line, where offshore energy can grow at the least ecological cost, which slopes and rooftops make solar viable. Everything is framed as trade-offs you can weigh, built from reviewed and respected methods, so every number in the comparison is defendable.
Analysis that ends as something people can steer, not a PDF.
History, present, and future are only useful if the people deciding can explore them. I build the delivery layer: interactive maps, dashboards, and lightweight tools with the heavy computation done in advance, so a non-technical team can test scenarios in real time and see the consequences for themselves.
From a scoped one-off study, to a custom tool, to ongoing analytical support.
We can start with a quick conversation about the problem, workshop the best ways forward, and discuss the answers you're looking for.