Source Themes

Building Hierarchies of Retail Centers Using Bayesian Multilevel Models

The perceived quality of urban environments is intrinsically tied to the availability of desirable leisure and retail opportunities. In this article, we explore methodological approaches for deriving indicators that estimate the willingness to pay …

Data infrastructure requirements for new geodemographic classifications: The example of London's workplace zones

In recent years a mix of Open Data and commercial sources have been used to build geodemographic classifications of neighbourhoods. In this paper we argue that geodemographics are coming to embody new thinking about the emergent mixed Big Data …

Open data on health-related neighbourhood features in Great Britain.

Our study details the creation of a series of national open source low-level geographical measures of accessibility to health-related features for Great Britain. We create 14 measures across three domains- retail environment (fast food outlets, …

A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification

A geodemographic classification aims to describe the most salient characteristics of a small area zonal geography. However, such representations are influenced by the methodological choices made during their construction. Of particular debate are the …

Beyond retail: New ways of classifying UK shopping and consumption spaces

Early attempts to classify shopping activity often took a relatively simple approach, largely driven by the lack of reliable data beyond fascia name and retail outlet counts by centre. There seems to be a consensus amongst contemporary scholars, …

Geographic Data Science

It is widely acknowledged that the emergence of “Big Data” is having a profound and often controversial impact on the production of knowledge. In this context, Data Science has developed as an interdisciplinary approach that turns such “Big Data” …

Understanding the dynamics of urban areas of interest through volunteered geographic information

Obtaining insights about the dynamics of urban structure is crucial to the framing of the context within the smart city. This paper focuses on urban areas of interest (UAOI), a concept that provides functional definitions of a city’s spatial …

Using machine learning to investigate self-medication purchasing in England via high street retailer loyalty card data

The availability alongside growing awareness of medicine has led to increased self-treatment of minor ailments. Self-medication is where one ‘self’ diagnoses and prescribes over the counter medicines for treatment. The self-care movement has …

Exploring the use of mixed methods in research and evaluation of widening participation interventions: guidance for practitioners

Globally, the need for evidence to guide widening participation (WP) practices aimed at reducing inequalities in higher education (HE) participation is recognised more than ever before. In addition, whilst it is also increasingly accepted that …

Developing an openly accessible multi-dimensional small area index of ‘Access to Healthy Assets and Hazards’ for Great Britain, 2016

Health geographers have been long concerned with understanding how the accessibility of individuals to certain environmental features may influence health and wellbeing. Such insights are increasingly being adopted by policy makers for designing …