Numerical data are everywhere. Charts and statistics appear not just in geography journals but also in the media, in public policy, and in business and commerce too. To engage with quantitative geography, we must engage with the quantitative methods used to collect, analyse, present and interpret these data. Quantitative Geography: The Basics is the perfect introduction for undergraduates beginning any quantitative methods course. Written in short, user-friendly chapters with full-colour diagrams, the book guides the reader through a wide range of topics from the basic to the more advanced, including: • Statistics • Maths • Graphics • Models • Mapping and GIS • R Closely aligned with the Q-Step quantitative social science programme, Quantitative Geography: The Basics is the ideal starting point for understanding and exploring this fundamental area of Geography.

Looking at Relationships and Creating Models

Looking at Relationships and Creating Models

9.1 Introduction

This and the following chapter are about creating models to explore the relationships between two or more data variables. There are many types of model that are used in geography. One is a literal model, something you could physically touch: a three-dimensional, scaled-down model of terrain, for example, or a wave flume in a laboratory to model the effects of waves on coastal erosion. Another is a digital model: a digital elevation model, for instance, or the reproduction of a cityscape using virtual reality technologies. A third is a computational model – a simulation – modelling flooding scenarios or processes of segregation and urban change. The Schelling models are a very well-known ...

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