• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2016, Volume 4, Issue 1

Journal for Geographic Information Science

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

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GI_Forum 2016, Volume 4, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-7988-7
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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A Cookie-Cutter Approach for Determining Places and Stays from Movement Data

    Simon Gröchenig, Cornelia Schneider

GI_Forum 2016, Volume 4, Issue 1, pp. 53-64, 2016/06/29

Journal for Geographic Information Science

doi: 10.1553/giscience2016_01_s53


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doi:10.1553/giscience2016_01_s53


Abstract

Technological progress with regard to various sensors and mobile devices is constant. In the field of movement data analysis in particular, this has led to new opportunities thanks to data sources such as Global Positioning Systems (GPS). In recent years, many research groups have developed new approaches for analysing this data. Most of these approaches are computationally intensive and unable to deliver results in a reasonable time when run on a mobile device. This paper presents a light-weight approach, called the “cookie-cutter”, which follows an alternative path by using an Eulerian model to determine stays of individuals within reasonable computation time. The quality measures used in this work show that the approach is promising with regard to both accuracy and computing requirements.

Keywords: movement, raster grid, cookie-cutter, stay

Published Online: 2016/06/29 07:01:21

Object Identifier: 0xc1aa5572 0x0033fe7e

Document viewed: Calculating...

Rights: https://creativecommons.org/licenses/by-nd/4.0/