The universality of street segments: length and sinuosity

In recent years, a consensus has begun to emerge over the suitability of street segments for visualising and analysing the geographic patterning of crime. A number of studies have argued / demonstrated that these so-called ‘micro’ places are not only theoretically meaningful behavioural spaces, but that most action occurs among street segments.

Open Data for Crime and Place Research. A Practical Guide in R

Forthcoming book chapter on using open data to study crime and place including a practical exercise in R.

An examination of variability in offender residences across different spatial scales. A case study in Birmingham

Paper exploring concentration and variance in offender residences across multiple (nested) spatial scales.

Even the most beautiful maps can be misleading

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.

Cartograms, hexograms and regular grids. Minimising misrepresentation in spatial data visualisations

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.