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008 140312s2014 gw | s |||| 0|eng d
020 _a9783319037431
024 7 _a10.1007/978-3-319-03743-1
_2doi
040 _aES-MaUEC
_bspa
050 4 _aQL754
_b2014 EB
082 0 4 _a591.7
100 1 _aUrbano, Ferdinando
_eeditor literario
_985172
_0Local
245 1 0 _aSpatial Database for GPS Wildlife Tracking Data :
_bA Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R
_cedited by Ferdinando Urbano, Francesca Cagnacci.
260 _aCham, Switzerland
_bSpringer International Publishing
_c2014
300 _a1 recurso en línea (XXIII, 257 p.)
_b47 ilustraciones, 32 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aIntroduction. - Wildlife Tracking Data Management: Chances Come from Difficulties -- Storing Tracking Data in an Advanced Database Platform (PostgreSQL) -- Extending the Database Data Model: Animals and Sensors -- From Data to Information: Associating GPS Positions to Animals -- Spatial is not Special: Managing Tracking data in a Spatial Database -- From Points to Habitat: Relating Environmental Information to GPS Positions -- Tracking Animals in a Dynamic Environment: Remote Sensing Image Time Series -- Data quality: Detection and Management of Outliers -- Exploring Tracking Data: Representations, Methods and Tools in a Spatial DB -- From Data Management to Analysis: Connecting R with the Database -- A Step Further in the Integration of Data Management and Analysis: Pl/R -- Deciphering Animals' Behavior: Joining GPS and Activity Data -- A Bigger Picture: Data Standards, Interoperability, Data Sharing.Â�Â{uE000}
520 _aThis 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{u2802}Â{u2820} Â{u0000}
650 7 _aAnimales
_xConducta
_2embne
_9168780
650 7 _aEcología animal
_2embne
_9140307
700 1 _aCagnacci, Francesca
_eeditor literario
_985173
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-03743-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b12818458
_b10-10-17
_c01-10-14
942 _2lcc
_cLE
945 _aQH540-549.5 EB
_g1
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988 _aEBOOK, EBSPRINGERrevisando
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