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Exploring Tracking Data: Representations, Methods and Tools in a Spatial Database

  • Ferdinando UrbanoEmail author
  • Mathieu Basille
  • Pierre Racine
Chapter

Abstract

The objects of movement ecology studies are animals whose movements are usually sampled at more-or-less regular intervals. This spatiotemporal sequence of locations is the basic, measured information that is stored in the database. Starting from this data set, animal movements can be analysed (and visualised) using a large set of different methods and approaches. These include (but are not limited to) trajectories, raster surfaces of probability density, points, (home range) polygons and tabular statistics. Each of these methods is a different representation of the original data set that takes into account specific aspects of the animals’ movement. The database must be able to support these multiple representations of tracking data. In this chapter, a wide set of methods for implementing many GPS tracking data representations into a spatial database (i.e. with SQL code and database functions) are introduced. The code presented is based on the database created in  Chaps. 2,  3,  4,  5,  6,  7 and  8.

Keywords

Animal movement Trajectory Home range Database functions Movement parameters 

References

  1. Calenge C, Dray S, Royer-Carenzi M (2009) The concept of animals’ trajectories from a data analysis perspective. Ecol Inform 4:34–41. doi: 10.1016/j.ecoinf.2008.10.002 CrossRefGoogle Scholar
  2. Horne JS, Garton EO, Krone SM, Lewis JS (2007) Analyzing animal movements using Brownian bridges. Ecology 88:2354–2363. doi: 10.1890/06-0957.1 PubMedCrossRefGoogle Scholar
  3. Kranstauber B, Kays R, LaPoint SD, Wikelski M, Safi K (2012) A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement. J Anim Ecol 81:738–746. doi: 10.1111/j.1365-2656.2012.01955.x PubMedCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ferdinando Urbano
    • 1
    Email author
  • Mathieu Basille
    • 2
  • Pierre Racine
    • 3
  1. 1.Università Iuav di VeneziaVeniceItaly
  2. 2.Fort Lauderdale Research and Education CenterUniversity of FloridaFort LauderdaleUSA
  3. 3.Centre for Forest ResearchUniversity LavalQuebec CityCanada

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