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GI_Forum 2016, Volume 4, Issue 1Journal 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 |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2016, Volume 4, Issue 1, pp. 53-64, 2016/06/29
Journal for Geographic Information Science
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