publication . Article . 2017

Individual Movement Strategies Revealed through Novel Clustering of Emergent Movement Patterns

Valle, Denis; Cvetojevic, Sreten; Robertson, Ellen P.; Reichert, Brian E.; Hochmair, Hartwig H.; Fletcher, Robert J.;
Open Access English
  • Published: 01 Mar 2017 Journal: Scientific Reports, volume 7 (issn: 2045-2322, eissn: 2045-2322, Copyright policy)
  • Publisher: Nature Publishing Group
Abstract
Understanding movement is critical in several disciplines but analysis methods often neglect key information by adopting each location as sampling unit, rather than each individual. We introduce a novel statistical method that, by focusing on individuals, enables better identification of temporal dynamics of connectivity, traits of individuals that explain emergent movement patterns, and sites that play a critical role in connecting subpopulations. We apply this method to two examples that span movement networks that vary considerably in size and questions: movements of an endangered raptor, the snail kite (Rostrhamus sociabilis plumbeus), and human movement in ...
Subjects
free text keywords: Article
51 references, page 1 of 4

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Fletcher R. J.Jr.. Network modularity reveals critical scales for connectivity in ecology and evolution. Nat Commun 4, doi: 10.1038/ncomms3572 (2013). [DOI]

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Demsar U.. Analysis and visualisation of movement: an interdisciplinary review. Movement Ecology 3, doi: 10.1186/s40462-015-0032-y (2015). [OpenAIRE] [DOI]

Barthelemy M.Spatial networks. Physics Reports 499, 1–101 (2011).

Fletcher R. J.Jr., Acevedo M. A., Reichert B. E., Pias K. E. & Kitchens W. M. Social network models predict movement and connectivity in ecological landscapes. Proc Natl Acad Sci USA 108, 19282–19287 (2011).22084081 [OpenAIRE] [PubMed]

Hawelka B.. Geo-located Twitter as proxy for global mobility patterns. Cartogr Geogr Inf Sci, doi: 10.1080/15230406.2014.890072 (2014). [OpenAIRE] [DOI]

Gonzalez M. C., Hidalgo C. A. & Barabasi A.-L. Understanding individual human mobility patterns. Nature 453, 779–782 (2008).18528393 [OpenAIRE] [PubMed]

51 references, page 1 of 4
Abstract
Understanding movement is critical in several disciplines but analysis methods often neglect key information by adopting each location as sampling unit, rather than each individual. We introduce a novel statistical method that, by focusing on individuals, enables better identification of temporal dynamics of connectivity, traits of individuals that explain emergent movement patterns, and sites that play a critical role in connecting subpopulations. We apply this method to two examples that span movement networks that vary considerably in size and questions: movements of an endangered raptor, the snail kite (Rostrhamus sociabilis plumbeus), and human movement in ...
Subjects
free text keywords: Article
51 references, page 1 of 4

Eagle N. & Pentland A. Reality mining: sensing complex social systems. Pers Ubiquit Comput 10, 255–268 (2006).

Lu X., Bengtsson L. & Holme P. Predictability of population displacement after the 2010 Haiti earthquake. Proc Natl Acad Sci USA 109, 11576–11581 (2012).22711804 [OpenAIRE] [PubMed]

Wesolowski A.. Quantifying the impact of human mobility on malaria. Science 338, 267–270 (2012).23066082 [OpenAIRE] [PubMed]

Tatem A. J. & Smith D. L. International population movements and regional Plasmodium falciparum malaria elimination strategies. Proc Natl Acad Sci USA 107, 12222–12227 (2010).20566870 [OpenAIRE] [PubMed]

Guo D.Visual analytics of spatial interaction patterns for pandemic decision support. Int J Geogr Inf Sci 21, 859–877 (2007).

Becker R. A.. A tale of one city: using cellular network data for urban planning. Pervasive Comput 10, 18–26 (2011).

Fletcher R. J.Jr.. Network modularity reveals critical scales for connectivity in ecology and evolution. Nat Commun 4, doi: 10.1038/ncomms3572 (2013). [DOI]

Jacoby D. M. P. & Freeman R. Emerging network-based tools in movement ecology. Trends Ecol Evol 31, 301–314 (2016).26879670 [OpenAIRE] [PubMed]

Andrienko G., Andrienko N., Hurter C., Rinzivillo S. & Wrobel S. Scalable analysis of movement data for extracting and exploring significant places. IEEE Trans Vis Comput Graph, doi: 10.1109/TVCG.2012.311 (2013). [OpenAIRE] [DOI]

Azmandian M., Singh K., Gelsey B., Chang Y.-H. & Rajiv M. Following human mobility using tweets In Agents and data mining interaction: 8th international workshop ADMI (eds Cao L. .) (Springer, Valencia, Spain, 2012).

Demsar U.. Analysis and visualisation of movement: an interdisciplinary review. Movement Ecology 3, doi: 10.1186/s40462-015-0032-y (2015). [OpenAIRE] [DOI]

Barthelemy M.Spatial networks. Physics Reports 499, 1–101 (2011).

Fletcher R. J.Jr., Acevedo M. A., Reichert B. E., Pias K. E. & Kitchens W. M. Social network models predict movement and connectivity in ecological landscapes. Proc Natl Acad Sci USA 108, 19282–19287 (2011).22084081 [OpenAIRE] [PubMed]

Hawelka B.. Geo-located Twitter as proxy for global mobility patterns. Cartogr Geogr Inf Sci, doi: 10.1080/15230406.2014.890072 (2014). [OpenAIRE] [DOI]

Gonzalez M. C., Hidalgo C. A. & Barabasi A.-L. Understanding individual human mobility patterns. Nature 453, 779–782 (2008).18528393 [OpenAIRE] [PubMed]

51 references, page 1 of 4
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publication . Article . 2017

Individual Movement Strategies Revealed through Novel Clustering of Emergent Movement Patterns

Valle, Denis; Cvetojevic, Sreten; Robertson, Ellen P.; Reichert, Brian E.; Hochmair, Hartwig H.; Fletcher, Robert J.;