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Spatial Database for GPS Wildlife Tracking Data, Ferdinando Urbano; Francesca Cagnacci


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Цена: 19564.00р.
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Автор: Ferdinando Urbano; Francesca Cagnacci
Название:  Spatial Database for GPS Wildlife Tracking Data
ISBN: 9783319378268
Издательство: Springer
Классификация:





ISBN-10: 3319378260
Обложка/Формат: Paperback
Страницы: 257
Вес: 0.40 кг.
Дата издания: 24.09.2016
Язык: English
Издание: Softcover reprint of
Иллюстрации: 1 tables, black and white; 32 illustrations, color; 15 illustrations, black and white; xxiii, 257 p. 47 illus., 32 illus. in color.; 1 tables, black and white; 32 illustrations, color; 15 illustrations, black and white; xxiii, 257 p. 47 illus., 32 il
Размер: 234 x 156 x 15
Читательская аудитория: Professional & vocational
Основная тема: Life Sciences
Подзаголовок: A Practical Guide to Creating a Data Management System with PostgreSQL/PostGIS and R
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.
Дополнительное описание: Introduction. - 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 Po



Spatial Complexity, Informatics, and Wildlife Conservation

Автор: Samuel A. Cushman; Falk Huettmann
Название: Spatial Complexity, Informatics, and Wildlife Conservation
ISBN: 443154755X ISBN-13(EAN): 9784431547556
Издательство: Springer
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Цена: 23508.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book covers the interplay between theory, data and analytical methodology in the fields of animal ecology, conservation and management. Topics include landscape ecology, remote sensing, spatial modeling, geostatistics, genomics and ecological informatics.

Spatial Database for GPS Wildlife Tracking Data

Автор: Ferdinando Urbano; Francesca Cagnacci
Название: Spatial Database for GPS Wildlife Tracking Data
ISBN: 3319037420 ISBN-13(EAN): 9783319037424
Издательство: Springer
Рейтинг:
Цена: 25155.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Step-by-step, this book shows readers how to build advanced software platforms to manage and process wildlife tracking data. It focuses on how to extract the most from GPS data, while preventing error propagation and optimizing analysis performance.


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