First Published in 2004. Housing policies and programmes tend to result from political expediency, rather than a rational and informed analysis of the situation and the demands of individual households for housing. Housing the Poor in the Developing World aims to show how methods of analysis can be used to improve efficacy and equity in housing projects and policies, with analysis designed for local circumstances. This book is aimed at satisfying the need to bring together methods of analysis from several disciplines which can be applied to housing. Each method is presented and illustrated with a case study to show how it can be used to inform housing policy in a wide range of countries in all parts of the developing world.

This up-to-date third edition provides an accessible introduction to urban and geographical economics using real world examples and key models.

A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

This book presents a selection of innovative ideas currently shaping the development and testing of geographical systems models by means of statistical and computational approaches. It spans all geographic scales, deals with both individuals and aggregates, and represents natural, human, and integrated spatial systems. This book is relevant to researchers, (post and under)graduates, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, and geographical information sciences.

Study conducted in 1974.