Spatial Database for GPS Wildlife Tracking Data

A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R

  • Ferdinando Urbano
  • Francesca Cagnacci

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Holger Dettki, Ferdinando Urbano, Mathieu Basille, Francesca Cagnacci
    Pages 1-7
  3. Ferdinando Urbano, Holger Dettki
    Pages 9-24
  4. Ferdinando Urbano, Mathieu Basille
    Pages 53-73
  5. Ferdinando Urbano, Mathieu Basille, Pierre Racine
    Pages 75-93
  6. Mathieu Basille, Ferdinando Urbano, Pierre Racine, Valerio Capecchi, Francesca Cagnacci
    Pages 95-114
  7. Ferdinando Urbano, Mathieu Basille, Francesca Cagnacci
    Pages 115-137
  8. Ferdinando Urbano, Mathieu Basille, Pierre Racine
    Pages 139-180
  9. Mathieu Basille, Ferdinando Urbano, Joe Conway
    Pages 213-229
  10. Anne Berger, Holger Dettki, Ferdinando Urbano
    Pages 231-244

About this book

Introduction

This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while preventing error propagation and optimizing analysis performance. Based on the open source PostgreSQL/PostGIS spatial database, the software platform will allow researchers and managers to integrate and harmonize GPS tracking data together with animal characteristics, environmental data sets, including remote sensing image time series, and other bio-logged data, such as acceleration data. Moreover, the book shows how the powerful R statistical environment can be integrated into the software platform, either connecting the database with R, or embedding the same tools in the database through the PostgreSQL extension Pl/R. The client/server architecture allows users to remotely connect a number of software applications that can be used as a database front end, including GIS software and WebGIS. Each chapter offers a real-world data management and processing problem that is discussed in its biological context; solutions are proposed and exemplified through ad hoc SQL code, progressively exploring the potential of spatial database functions applied to the respective wildlife tracking case. Finally, wildlife tracking management issues are discussed in the increasingly widespread framework of collaborative science and data sharing. GPS animal telemetry data from a real study, freely available online, are used to demonstrate the proposed examples. This book is also suitable for undergraduate and graduate students, if accompanied by the basics of databases.    

 

Keywords

Bio-telemetry GPS wildlife tracking data Movement Ecology Tracking Sensors Wildlife Conservation Wildlife Management

Editors and affiliations

  • Ferdinando Urbano
    • 1
  • Francesca Cagnacci
    • 2
  1. 1.Università Iuav di VeneziaVeniceItaly
  2. 2.Research and Innovation CentreFondazione Edmund MachSan Michele all’AdigeItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-03743-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-03742-4
  • Online ISBN 978-3-319-03743-1
  • About this book