Robin Lovelace

Learn More
There has been much excitement among quantitative geographers about newly available data sets, characterized by high volume, velocity, and variety. This phenomenon is often labeled as “Big Data” and has contributed to methodological and empirical advances, particularly in the areas of visualization and analysis of social networks. However, a fourth v—(More)
SIR — Your News Feature ‘Electricity without carbon’ (Nature 454, 816–823; 2008) claims that the easiest way to cut the carbon released by electricity generation is to “increase efficiency”. Although efficiency measures do have the potential to cut emissions, this applies only under the optimistic assumption that efficient energy converters will not be used(More)
Iterative Proportional Fitting (IPF), also known as biproportional tting, `raking' or the RAS algorithm, is an established procedure used in a variety of applications across the social sciences. Primary amongst these for urban modelling has been its use in static spatial microsimulation to generate small area microdata individual level data allocated to(More)
Geotagged tweets to inform a spatial interaction model: a case study of museums This paper explores the potential of volunteered geographical information from social media for informing geographical models of behavior, based on a case study of museums in Yorkshire, UK. A spatial interaction model of visitors to 15 museums from 179 administrative zones is(More)
Getting people cycling is an increasingly common objective in transport planning institutions worldwide. A growing evidence base indicates that high quality infrastructure can boost local cycling rates. Yet for infrastructure and other cycling measures to be effective, it is important to intervene in the right places, such as along ‘desire lines’ of high(More)
  • 1