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Alex David Singleton - Urban Analytics (Spatial Analytics and GIS)

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Alex David Singleton Urban Analytics (Spatial Analytics and GIS)

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The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics.Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.

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Urban Analytics Urban Analytics Spatial Analytics and Gis Series Alex - photo 1
Urban Analytics
Urban Analytics Spatial Analytics and GIS - image 2
Urban Analytics
Spatial Analytics and Gis Series
  • Alex D.Singleton
  • Seth E. Spielman
  • David C. Folch
Urban Analytics Spatial Analytics and GIS - image 3
Urban Analytics Spatial Analytics and GIS - image 4
SAGE Publications Ltd
1 Olivers Yard
55 City Road
London EC1Y 1SP
SAGE Publications Inc.
2455 Teller Road
Thousand Oaks, California 91320
SAGE Publications India Pvt Ltd
B 1/I 1 Mohan Cooperative Industrial Area
Mathura Road
New Delhi 110 044
SAGE Publications Asia-Pacific Pte Ltd
3 Church Street
#10-04 Samsung Hub
Singapore 049483
Alex D. Singleton, Seth E. Spielman & David C. Folch 2018
First published 2018
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act, 1988, this publication may be reproduced, stored or transmitted in any form, or by any means, only with the prior permission in writing of the publishers, or in the case of reprographic reproduction, in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers.
Library of Congress Control Number: 2017941647
British Library Cataloguing in Publication data
A catalogue record for this book is available from the British Library
ISBN 978-1-4739-5862-3
ISBN 978-1-4739-5863-0 (pbk)
Editor: Robert Rojek
Editorial assistant: Catriona McMullen
Production editor: Katherine Haw
Copyeditor: Neville Hankins
Proofreader: Lynda Watson
Indexer: Cathryn Pritchard
Marketing manager: Susheel Gokarakonda
Cover design: Wendy Scott
Typeset by: C&M Digitals (P) Ltd, Chennai, India
Printed in the UK
Priase For Urban Analytics This is a comprehensive and timely consolidation of - photo 5
Priase For Urban Analytics
This is a comprehensive and timely consolidation of current thinking about urban analytics. The book is fizzing with new ideas, and brimming with practical examples of the science of doing. Compulsive student reading.
Paul Longley, Professor of Geographic Information Science, University College London
Urban analytics is fast emerging as the core set of tools employed to deal with problems of big data, urban simulation, and demographics. This book is essential reading to all those involved in this newly emergent field, providing a new arsenal of analytic tools to make sense of how cities are being restructured.
Michael Batty, Professor of Spatial Analysis and Planning, University College London
Urban Analytics neatly interweaves an introduction to this emerging field, with an accessible discussion of enduring themes and new approaches in quantitative geography. An engaging text that will appeal to students in a range of disciplines.
David OSullivan, Associate Professor, Department of Geography, Berkeley
This excellent starter text captures the excitement and enthusiasm of a new kind of urban research: one that exploits the vast new data resources that are becoming available, from social media, crowdsourcing, and sensor networks; and makes use of the unprecedented power of todays computer technology. It fills an important gap, and will be an essential text for students in a wide range of disciplines, from civil, infrastructure, and transportation engineering to geography, planning, and urban studies.
Michael Goodchild, Emeritus Professor of Geography, University of California, Santa Barbara
Urban analytics has come of age! This textbook by three leading scholars in data-driven and computational urban science is needed and welcome. It is a fantastic resource for educating the next generation of urban scholars.
Harvey J. Miller, Bob and Mary Reusche Chair in Geographic Information Science and Professor, Department of Geography, Ohio State University
Urban Analytics is a great introductory text for getting familiar with logics and perspectives characterising the analysis, interpretation and representation of urban data. It is a highly valuable work for urban scholars who are familiar with qualitative approaches, but would like to gain a deeper understanding of the ways data and computational techniques allow us to understand and gain meaningful knowledge of cities and urban phenomena.
Alberto Vanolo, Professor of Political and Economic Geography, University of Turin
Urban analytics is integral to city infrastructure, and it is hugely important that people understand the implication and uses of City data. This book accessibly explains the underlying concepts of urban analytics for students and interested professionals. I believe this book will be very helpful, and will recommend it for my students and (business) partners in city data projects.
Nanda Piersma, Professor of Urban Analytics, Amsterdam University of Applied Sciences
Contents
List of Tables
List of Figures
  • About the Authors
    Alex Singletonis a Professor of Geographic Information Science at the University of Liverpool, where he runs a node of the ESRC Consumer Data Research Centre and ESRC Centre for Data Analytics and Society. His research is concerned with how the complexities of individual behavior manifest spatially and can be represented and understood through a framework of geographic data science. In particular, this research has extended a tradition of area classification and has developed a broad critique of the ways in which geodemographic methods can be refined. He is an avid R user and also advocate of Open Geographic Information Science.Seth Spielmanis an Associate Professor of Geography at the University of Colorado. He has received a Distinguished Scholar Award from the Regional Development and Planning Group of the Association of American Geographers and the Michael Breheny Prize for work in urban analytics. The journal Science profiled him as an archetype of the new generation of data-centric geographers. In the last few years his publications have appeared in a diverse set of journals including PNAS, PlosOne, Demography, Annals of the Association of American Geographers, and the International Journal of GIS. Outside of academia his professional experience has ranged from the hyper digital world of Silicon Valley to the insanely analog practice of being the sole proprietor of an antiquarian bookshop in Manhattan.David Folchis an Assistant Professor in the Department of Geography at Florida State University. His research focuses on spatial analytical methods, with a contextual interest in US cities and neighborhoods. His approach to research sits at the intersection of geography, economics and computer science, which in practice means merging geographic and economic theories with high-performance computing and large datasets to address research questions with distinctly spatial manifestations. His work has involved developing improved measures for residential segregation and the creation of spatial approaches for reducing uncertainty in American Community Survey estimates. He holds degrees in geography and economics.
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