Header

UZH-Logo

Maintenance Infos

From A to B, randomly: a point-to-point random trajectory generator for animal movement


Technitis, Georgios; Othman, Walied; Safi, Kamran; Weibel, Robert (2015). From A to B, randomly: a point-to-point random trajectory generator for animal movement. International Journal of Geographical Information Science, 29(6):912-934.

Abstract

For applications in animal movement, we propose a random trajectory generator (RTG) algorithm that combines the concepts of random walks, space-time prisms, and the Brownian bridge movement model and is capable of efficiently generating random trajectories between a given origin and a destination point, with the least directional bias possible. Since we provide both a planar and a spherical version of the algorithm, it is suitable for simulating trajectories ranging from the local scale up to the (inter-) continental scale, as exemplified by the movement of migrating birds. The algorithm accounts for physical limitations, including maximum speed and maximum movement time, and provides the user with either single or multiple trajectories as a result. Single trajectories generated by the RTG algorithm can be used as a null model to test hypotheses about movement stimuli, while the multiple trajectories can be used to create a probability density surface akin to Brownian bridges.

Abstract

For applications in animal movement, we propose a random trajectory generator (RTG) algorithm that combines the concepts of random walks, space-time prisms, and the Brownian bridge movement model and is capable of efficiently generating random trajectories between a given origin and a destination point, with the least directional bias possible. Since we provide both a planar and a spherical version of the algorithm, it is suitable for simulating trajectories ranging from the local scale up to the (inter-) continental scale, as exemplified by the movement of migrating birds. The algorithm accounts for physical limitations, including maximum speed and maximum movement time, and provides the user with either single or multiple trajectories as a result. Single trajectories generated by the RTG algorithm can be used as a null model to test hypotheses about movement stimuli, while the multiple trajectories can be used to create a probability density surface akin to Brownian bridges.

Statistics

Citations

6 citations in Web of Science®
6 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

24 downloads since deposited on 21 Jan 2016
22 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2015
Deposited On:21 Jan 2016 12:39
Last Modified:13 Jan 2017 08:51
Publisher:Taylor & Francis
ISSN:1365-8816
Publisher DOI:https://doi.org/10.1080/13658816.2014.999682

Download

Download PDF  'From A to B, randomly: a point-to-point random trajectory generator for animal movement'.
Preview
Content: Accepted Version
Language: English
Filetype: PDF
Size: 4MB