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Carte Spatial Database for GPS Wildlife Tracking Data Ferdinando Urbano

Spatial Database for GPS Wildlife Tracking Data

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

Autor: Ferdinando Urbano, Francesca Cagnacci
Limbă: engleză
Legare: Copertă tare
Editura: Springer International Publishing AG
Disponibilitate: În depozitul extern
Expediem în 10-13 zile
827.16 lei
This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step...

Informații despre carte

Autor
Ferdinando Urbano, Francesca Cagnacci
Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2014
Pagini
257
EAN
9783319037424
ISBN
3319037420
Enbook ID
02224180
Editura
Springer International Publishing AG
Greutate
564
Dimensiuni
161 x 243 x 20

Descriere completă

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 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 connect 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 are used to demonstrate the proposed examples and is freely available online for readers of this volume. This book is also suitable for undergraduate and graduate students, if accompanied by the basics of databases.§

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