Computational Movement Analysis

  • Patrick Laube

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Patrick Laube
    Pages 1-7
  3. Patrick Laube
    Pages 9-27
  4. Patrick Laube
    Pages 29-58
  5. Patrick Laube
    Pages 59-80

About this book

Introduction

This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research.

Keywords

Data mining Decentralized spatial computing Geographic information science Movement data Movement patterns Trajectories

Authors and affiliations

  • Patrick Laube
    • 1
  1. 1.Institute of Natural Resource SciencesZurich University of Applied SciencesWädenswilSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10268-9
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-10267-2
  • Online ISBN 978-3-319-10268-9
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book
Industry Sectors
Pharma
Automotive
Biotechnology
Electronics
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace