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Discovering the mobility patterns of wild animals: a case study

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COST Action IC0903

“Knowledge Discovery from Moving Objects” (MOVE)

Title of contribution: Discovering the mobility patterns of wild animals: a case study Authors

Maria Luisa Damiani, University of Milan, Italy, damiani@di.unimi.it

Francesca Cagnacci, Fondazione E. Mach, Itlay, francesca.cagnacci@fmach.it Content format and access

Type of contribution: auto-running powerpoint in the form of video (10 sec per slide) Format: webm.

Access information: The link is: http://homes.di.unimi.it/~mdamiani/move/demo Content description

Keywords: migration pattern, spatio-temporal clustering Key results:

- It has been experienced a novel spatio-temporal clustering method for the extraction of migration patterns from the GPS tracks of wild animals, in particular deer

- The technique has been validated using an existing set of mobility tracks provided by the biologists

Reference(s)

Master Thesis (Laurea Specialistica): Visualizzazione e analisi di traiettorie di animali tramite tecnologie WebGIS by Gianluca Alfieri, University of Milan, July 2013

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