Evaluating Neighborhood Environment and Utilitarian Walking Behavior with Big Data: A Case Study in Tokyo Metropolitan A
Neighborhood environment for daily walking behavior has attracted highly academic attention in recent years because evidences have shown that ideal neighborhood environment can encourage walking behavior which is related to individual health. However, bec
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Chenghu Zhou Fenzhen Su Francis Harvey Jun Xu Editors
Spatial Data Handling in Big Data Era Select Papers from the 17th IGU Spatial Data Handling Symposium 2016
Advances in Geographic Information Science Series editors Shivanand Balram, Burnaby, Canada Suzana Dragicevic, Burnaby, Canada
More information about this series at http://www.springer.com/series/7712
Chenghu Zhou Fenzhen Su Francis Harvey Jun Xu •
•
Editors
Spatial Data Handling in Big Data Era Select Papers from the 17th IGU Spatial Data Handling Symposium 2016
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Editors Chenghu Zhou State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China Fenzhen Su State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
Francis Harvey Leibniz Institute for Regional Geography Leipzig, Sachsen Germany Jun Xu State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
ISSN 1867-2434 ISSN 1867-2442 (electronic) Advances in Geographic Information Science ISBN 978-981-10-4423-6 ISBN 978-981-10-4424-3 (eBook) DOI 10.1007/978-981-10-4424-3 Library of Congress Control Number: 2017937118 © Springer Nature Singapore Pte Ltd. 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
The 17th International Symposium on Spatial Data Handling (SDH) was held on 18–20 August 2016 in Beijing. As one of the oldest
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