Paul Longley

University College, London. Centre for Advanced Spatial Analysis

"Describing the latest developments in GIS applications at the Centre for Advanced Spatial Analysis (CASA) at the University College, London, this book demonstrates how CASA is advancing spatial decision systems and spatial analysis, which are essential to solving problems and better understanding how people live. How these systems and analyses are drawn from archaeology, architecture, cartography, computer science, environmental science, geography, planning, remote sensing, geomatic engineering, and transport studies is explained. Highlighted are projects such as Digital Egypt, which describes virtual reality reconstructions for Egyptian archaeological finds, and Virtual cities, which explores the concepts and nature of virtual cities, from early CAD models to the newly emerging data-rich cities that merge GIS with three-dimensional visualization."

The CASA Book of GIS

Advanced Spatial Analysis

Michael F. Goodchild

David J. Maguire

David W. Rhind

Mike F Goodchild

This landmark text captures and redefines the richness and diversity of GIS, in an accessible form. It presents a clearly–defined path to a world of learning about GIS, using the Internet and closely–couples reference sources. It is richly produced and illustrated unlike any other in the field, with over 300 full colour illustrations. Unique in several ways, it presents comprehensive treatments of: Geographic Information Science – the scientific context to GIS, technical content and geographic implications The real value of GIS – illustrated using real world applications. Treatments emphasize operational, tactical and strategic issues The impact of Internet GIS on interdisciplinary science and society The pivotal role of GIS as a business driver in the information age – including the role of GIS as a business asset and the operational dynamics of its use in practice Learning resources include: Links to ESRI′s Virtual Campus which includes modules specially written to accompany the book (http://campus.esri.com) Instructor′s Manual to assist in the planning and use of this text in a variety of academic environments (http://www.wiley.co.uk/gis) Free on–line access to relevant chapters of the first edition of the two–volume ′Big Book 1′ (http://www.wiley.co.uk/gis) Questions for further study at the end of each chapter (http://www.wiley.co.uk/gis) Powerpoint slides to assist teaching

Geographic Information Systems and Science

James Cheshire

Alexander Singleton

Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies. Praise for Consumer Data Research 'An insightful, state-of-the-art guide into the social and commercial value of applying geographical thinking to the study of consumer data.' Professor Richard Harris, University of Bristol 'An excellent guide to leveraging the value of academic research on valid data. Partnerships based around consumer data should be encouraged and supported by all and their outputs used to better the way we manage the world we live in.' Bill Grimsey, retailer and author of The Vanishing Highstreet 'The use of data from everyday consumer transactions is a potential game-changer for understanding economic and social patterns and trends. This is an excellent overview of the field.' Dr.Tom Smith, Managing Director, Office for National Statistics Data Science Campus

Consumer Data Research

Michael John De Smith

Addresses a range of analytical techniques that are provided within modern Geographic Information Systems and related geospatial software products. This guide covers: the principal concepts of geospatial analysis; core components of geospatial analysis; and, surface analysis, including surface form analysis, gridding and interpolation methods.

Paul Longley

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