PART 1: ABOUT QUANTITATIVE GEOGRAPHY
Introducing Quantitative Geography
The Use and Abuse of Statistics
PART 2: FOUNDATIONS OF QUANTITATIVE GEOGRAPHY
Principles of Statistics (or, how statistics work)
Some Maths and Notation
Descriptive and Inferential Statistics
Statistical Testing, statistical significance and why they are
contentious
PART 3: DOING QUANTITATIVE GEOGRAPHY
Data Presentation and Graphics
Mapping and GIS
Looking at Relationships and Creating Models
Multiple regression and geography
Analysing Geographical Patterns and Differences
An Introduction to R
Richard Harris is Professor of Quantitative Social Geography at the
School of Geographical Sciences, University of Bristol. He is the
lead author on two textbooks about quantitative methods in
geography and related disciplines: Statistics for Geography and
Environmental Science (Prentice Hall, 2011) and
Geodemographics, GIS and Neighbourhood Targeting (Wiley,
2005).
Richard′s research interests are in the geographies of education
and the education of geographers. He is currently Director of
Bristol Q-Step Centre, part of a multimillion pound UK initiative
to raise quantitative skills training among social science
students, and has worked with both the Royal Geographical Society
(with IBG) and Higher Education Academy to promote numeracy and to
support the transition of students from schools to University.
′Quantitative Geography: The Basics′ delivers exactly what the
title promises. An engaging overview of the field that makes a
strong case that all geographers can and should be exposed to
statistical methods, if they are to fully engage with the
contemporary discipline, and to participate effectively in wider,
number-saturated, public debates.
*David O′Sullivan*
I like the pitch of this book because the reader is encouraged to
think and use common sense when looking at statistical outputs and
to be critical but not negative for the sake of it. Technical terms
are explained, often with an analogy. Graphical presentation is
covered in detail with examples of different ways of illustrating
the same outputs so it is clear why choices help or hinder
interpretation. Particular highlights are that using pie charts is
a really bad idea and that the author has used parkrun data.
However, as a founder and run director at Skipton parkrun, I must
declare that my opinion is biased!
*Paul Norman*
I very much like the idea of this book. As a quantitative-based
lecturer in a school of geography I struggle to find texts on
statistics that will hold students′ interests as they often crave
geography-motivated examples. It is useful to have access to a
statistics text that explicitly focuses on quantitative geography.
The content is laid out in a straightforward manner and is not
overly mathematical. I would be happy to suggest the text to my
students.
*Daniel Goldberg*
This is an important book. Rich Harris makes a compelling case for
why fluency with data, its collection, analysis and interpretation,
is essential for geographers and geography today. The text
provides a platform that encourages students to engage with ideas
about data - relevant for all students whether interested in
social, cultural or, economic geography, or hydrology,
geomorphology or biogeography. This is a valuable addition to any
introductory undergraduate geography reading list.
*Catherine Souch*
A remarkably pedagogic and perfectly illustrated quantitative
geography manual that will delight students of all levels as much
as their teachers
*Thierry Feuillet*
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