CyberGIS for Geospatial Discovery and Innovation

  • Shaowen Wang
  • Michael F. Goodchild

Part of the GeoJournal Library book series (GEJL, volume 118)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Shaowen Wang, Michael F. Goodchild
      Pages 3-10
  3. Applications and Science Drivers

    1. Front Matter
      Pages 11-11
    2. Guido Cervone, Jörg Dallmeyer, Andreas D. Lattner, Pasquale Franzese, Nigel Waters
      Pages 13-31
    3. James Cheshire, Michael Batty, Jonathan Reades, Paul Longley, Ed Manley, Richard Milton
      Pages 33-52
    4. Martin Tomko, Gerson Galang, Chris Bayliss, Jos Koetsier, Phil Greenwood, William Voorsluys et al.
      Pages 53-69
    5. Jiue-An Yang, Ming-Hsiang Tsou, Brian Spitzberg, Li An, Jean Mark Gawron, Dipak Gupta
      Pages 71-86
    6. Chaowei Yang, Pinde Fu, Michael F. Goodchild, Chen Xu
      Pages 87-112
  4. Science and Technology Frontiers

    1. Front Matter
      Pages 113-113
    2. Dinesh Agarwal, Satish Puri, Sushil K. Prasad
      Pages 115-141
    3. Michael R. Evans, Dev Oliver, KwangSoo Yang, Xun Zhou, Reem Y. Ali, Shashi Shekhar
      Pages 143-170
    4. Michael P. Finn, Yan Liu, David M. Mattli, Babak Behzad, Kristina H. Yamamoto, Qingfeng (Gene) Guan et al.
      Pages 171-188
    5. Wenwen Li, Michael F. Goodchild, Luc Anselin, Keith T. Weber
      Pages 189-211
    6. David Massey, Ola Ahlqvist, Kiril Vatev, Johnathan Rush
      Pages 213-224
  5. Social Dimensions

    1. Front Matter
      Pages 247-247
    2. Dawn J. Wright, Victoria Kouyoumijan, Steve Kopp
      Pages 263-278
    3. Mary J. Roderick, Timothy L. Nyerges, Michalis Avraam
      Pages 279-291
  6. Back Matter
    Pages 293-298

About this book


This book elucidates how cyberGIS (that is, new-generation geographic information science and systems (GIS) based on advanced computing and cyberinfrastructure) transforms computation- and data-intensive geospatial discovery and innovation. It comprehensively addresses opportunities and challenges, roadmaps for research and development, and major progress, trends, and impacts of cyberGIS in the era of big data. The book serves as an authoritative source of information to fill the void of introducing this exciting and growing field. By providing a set of representative applications and science drivers of cyberGIS, this book demonstrates how cyberGIS has been advanced to enable cutting-edge scientific research and innovative geospatial application development. Such cyberGIS advances are contextualized as diverse but interrelated science and technology frontiers. The book also emphasizes several important social dimensions of cyberGIS such as for empowering deliberative civic engagement and enabling collaborative problem solving through structured participation. In sum, this book will be a great resource to students, academics, and geospatial professionals for leaning cutting-edge cyberGIS, geospatial data science, high-performance computing, and related applications and sciences.


CyberGIS Big data Cyberinfrastructure Geographic information systems and science Geospatial sciences and technologies

Editors and affiliations

  • Shaowen Wang
    • 1
  • Michael F. Goodchild
    • 2
  1. 1.Department of Geography and Geographic Information ScienceUniversity of Illinois at Urbana–ChampaignUrbanaUSA
  2. 2.University of California, Santa BarbaraSanta BarbaraUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V., part of Springer Nature 2019
  • Publisher Name Springer, Dordrecht
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-94-024-1529-2
  • Online ISBN 978-94-024-1531-5
  • Series Print ISSN 0924-5499
  • Series Online ISSN 2215-0072
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Oil, Gas & Geosciences