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.
General
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