Detecting movement patterns using Brownian bridges

K. Buchin, S. Sijben, T.J.-M. Arseneau, E.P. Willems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

18 Citaten (Scopus)

Samenvatting

In trajectory data a low sampling rate leads to high uncertainty in between sampling points, which needs to be taken into account in the analysis of such data. However, current algorithms for movement analysis ignore this uncertainty and assume linear movement between sample points. In this paper we develop a framework for movement analysis using the Brownian bridge movement model (BBMM), that is, a model that assumes random movement between sample points. Many movement patterns are composed from basic building blocks, like distance, speed or direction. We efficiently compute their distribution over space and time in the BBMM using parallel graphics hardware. We demonstrate our framework by computing patterns like encounter, avoidance/attraction, regular visits, and following. Our motivation to study the BBMM stems from the rapidly expanding research paradigm of movement ecology. To this end, we provide an interface to our framework in R, an environment widely used within the natural sciences for statistical computing and modeling, and present a study on the simultaneous movement of groups of wild and free-ranging primates.
Originele taal-2Engels
TitelProceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACMGIS, Redondo Beach CA, USA, November 6-9, 2012)
Pagina's119-128
DOI's
StatusGepubliceerd - 2012
Evenement20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012) - Redondo Beach, Verenigde Staten van Amerika
Duur: 6 nov 20129 nov 2012
Congresnummer: 20
http://acmgis2012.cs.umd.edu/

Congres

Congres20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012)
Verkorte titelACM SIGSPATIAL GIS 2012)
LandVerenigde Staten van Amerika
StadRedondo Beach
Periode6/11/129/11/12
Ander20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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