Librería: Ammareal, Morangis, Francia
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Añadir al carritoSoftcover. Condición: Comme neuf. Edition 2023. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2023. Ammareal gives back up to 15% of this item's net price to charity organizations.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 76,00
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the Linked Data paradigm, and shows how data scientists can use them to build environmental applications easily.Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site:https://ai.di.uoa.gr/geospatial-data-science-book/index.htmlwhere solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the 'Knowledge Technologies' course taught by the editor in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.
Librería: preigu, Osnabrück, Alemania
EUR 90,35
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Añadir al carritoTaschenbuch. Condición: Neu. Geospatial Data Science | A Hands-on Approach for Building Geospatial Applications using Linked Data Technologies | Manolis Koubarakis | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | ACM Books | EAN 9798400707384 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.