Representing positional uncertainty of individual and aggregated trajectories of moving objects

Manuel G. Garcia; I. Ivanova; Arta Dilo; J.M. Morales Guarin

doi:10.1145/2525314.2525454

Representing positional uncertainty of individual and aggregated trajectories of moving objects

Manuel G. Garcia
, I. Ivanova
, Arta Dilo
, J.M. Morales Guarin

Department of Geo-information Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

1 Citation (Scopus)

10 Downloads (Pure)

Abstract

Trajectories are used to represent objects' movement and spatio-temporal aggregation of trajectories is commonly used in knowledge discovery. Based on a general workflow to extract knowledge, we identify relevant factors that propagate uncertainty in moving object datasets when using aggregation. We use a probabilistic approach and propose a theoretical model to represent positional uncertainty of trajectories and their aggregation, and implement a prototype system to compute positional uncertainty in pedestrians' movement data

Original language	English
Title of host publication	SIGSPATIAL'13
Subtitle of host publication	Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	436-439
ISBN (Print)	978-1-4503-2521-9
DOIs	https://doi.org/10.1145/2525314.2525454
Publication status	Published - 5 Nov 2013
Event	21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013 - Orlando, United States Duration: 5 Nov 2013 → 8 Nov 2013 Conference number: 21

Conference

Conference	21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013
Abbreviated title	GIS
Country/Territory	United States
City	Orlando
Period	5/11/13 → 8/11/13

Keywords

IR-90379
METIS-302299

Access to Document

10.1145/2525314.2525454

Cite this

Garcia, M. G., Ivanova, I., Dilo, A., & Morales Guarin, J. M. (2013). Representing positional uncertainty of individual and aggregated trajectories of moving objects. In SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 436-439). Association for Computing Machinery. https://doi.org/10.1145/2525314.2525454

@inproceedings{8ee08213717346f98a1046a384a01196,

title = "Representing positional uncertainty of individual and aggregated trajectories of moving objects",

abstract = "Trajectories are used to represent objects' movement and spatio-temporal aggregation of trajectories is commonly used in knowledge discovery. Based on a general workflow to extract knowledge, we identify relevant factors that propagate uncertainty in moving object datasets when using aggregation. We use a probabilistic approach and propose a theoretical model to represent positional uncertainty of trajectories and their aggregation, and implement a prototype system to compute positional uncertainty in pedestrians' movement data",

keywords = "IR-90379, METIS-302299",

author = "Garcia, \{Manuel G.\} and I. Ivanova and Arta Dilo and \{Morales Guarin\}, J.M.",

year = "2013",

month = nov,

day = "5",

doi = "10.1145/2525314.2525454",

language = "English",

isbn = "978-1-4503-2521-9",

pages = "436--439",

booktitle = "SIGSPATIAL'13",

publisher = "Association for Computing Machinery",

address = "United States",

note = "21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013, GIS ; Conference date: 05-11-2013 Through 08-11-2013",

}

Garcia, MG, Ivanova, I, Dilo, A & Morales Guarin, JM 2013, Representing positional uncertainty of individual and aggregated trajectories of moving objects. in SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Association for Computing Machinery, New York, pp. 436-439, 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013, Orlando, Florida, United States, 5/11/13. https://doi.org/10.1145/2525314.2525454

Representing positional uncertainty of individual and aggregated trajectories of moving objects. / Garcia, Manuel G.; Ivanova, I.; Dilo, Arta et al.
SIGSPATIAL'13: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York: Association for Computing Machinery, 2013. p. 436-439.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Representing positional uncertainty of individual and aggregated trajectories of moving objects

AU - Garcia, Manuel G.

AU - Ivanova, I.

AU - Dilo, Arta

AU - Morales Guarin, J.M.

N1 - Conference code: 21

PY - 2013/11/5

Y1 - 2013/11/5

N2 - Trajectories are used to represent objects' movement and spatio-temporal aggregation of trajectories is commonly used in knowledge discovery. Based on a general workflow to extract knowledge, we identify relevant factors that propagate uncertainty in moving object datasets when using aggregation. We use a probabilistic approach and propose a theoretical model to represent positional uncertainty of trajectories and their aggregation, and implement a prototype system to compute positional uncertainty in pedestrians' movement data

AB - Trajectories are used to represent objects' movement and spatio-temporal aggregation of trajectories is commonly used in knowledge discovery. Based on a general workflow to extract knowledge, we identify relevant factors that propagate uncertainty in moving object datasets when using aggregation. We use a probabilistic approach and propose a theoretical model to represent positional uncertainty of trajectories and their aggregation, and implement a prototype system to compute positional uncertainty in pedestrians' movement data

KW - IR-90379

KW - METIS-302299

U2 - 10.1145/2525314.2525454

DO - 10.1145/2525314.2525454

M3 - Conference contribution

SN - 978-1-4503-2521-9

SP - 436

EP - 439

BT - SIGSPATIAL'13

PB - Association for Computing Machinery

CY - New York

T2 - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2013

Y2 - 5 November 2013 through 8 November 2013

ER -

Representing positional uncertainty of individual and aggregated trajectories of moving objects

Abstract

Conference

Keywords

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