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Books > Earth & environment > The environment > Applied ecology > Biodiversity
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Spatial Database for GPS Wildlife Tracking Data - A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R (Paperback, Softcover reprint of the original 1st ed. 2014)
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Spatial Database for GPS Wildlife Tracking Data - A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R (Paperback, Softcover reprint of the original 1st ed. 2014)
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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.  Â
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