A couple of years ago, Reka Solymosi and I began a side-project on different ways of visualising spatial data. We were (well, still are) interested in how people interpret maps, and how these interpretations might differ depending the type of map being used, even when the underlying data is the same.
Article for Policing Insight examining police-recorded crime in England and Wales between March and August.
Stats bulletin reporting end of month counts for crime and anti-social behaviour in Greater London before and after lockdown.
Forthcoming book chapter introducing GIS and geovisual analysis for research.
From reporting election results to issuing weather forecasts, maps offer a powerful, accessible and visually appealing way to convey complex information. Yet even the most beautiful maps can introduce some degree of misrepresentation.
Paper exploring the extent to which different methods of visualising area-based data can remedy (or exacerbate) misrepresentation by presenting results from a crowdsourced survey.