Learn More
1. Project Objectives MoSeS (Modelling and Simulation for e-Social Science) is a research node of the National Centre for e-Social Science. The aim of the project is to develop a national demographic simulation which is specified at the level of individuals and households. Such a model can form the basis for a wide range of applications in both research and(More)
Geodemographic systems can make important contributions toward more effective marketing and branch location research within financial service organizations. This article reviews the potential of geodemographics to support various activities undertaken by financial institutions and discusses the role that Geographic Information Systems (GIS) can play in(More)
In this paper it is argued that continuing advances in computing power present both a challenge and an opportunity to researchers in the social sciences. There are opportunities in at least two areas in the generation of more sophisticated theories about spatial problems: through techniques such as data mining, pattern recognition, and neural network(More)
MoSeS (Modelling and Simulation for e-Social Science) is a research node of the National Centre for e-Social Science. MoSeS uses e-Science techniques to execute an events-driven model that simulates discrete demographic processes; this allows us to project the UK population 25 years into the future. This paper describes the architecture, simulation(More)
We outline the aims and progress to date of the National Centre for e-Social Science e-Infrastructure project. We examine the challenges faced by the project, namely in ensuring outputs are appropriate to social scientists, managing the transition from research projects to service and embedding software and data within a wider infrastructural framework. We(More)
National infrastructure systems (energy, transport, digital communications, water, and waste) provide essential services to society. Although for the most part these systems developed in a piecemeal way, they are now an integrated and highly interdependent " system of systems. " However, understanding the long-term performance trajectory of national(More)
ii ABSTRACT The 2001 Census has been successfully administered and the Census Organisations are currently engaged in processing the returns. A very large and rich dataset will be produced for the 58,789,194 people of the UK. The Census Area Statistics, for example, delivers 190 tables containing about 6 thousand unique counts relating to the characteristics(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)