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Seller: Paisleyhaze Books, New Hartford, CT, U.S.A.
Soft cover. Condition: New. Springer trade paperback, factory sealed in shrink, No marks or damage (New). We will bubble wrap the book and ship it in a New BOX- Not a plastic bag like the zombie sellers.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Condition: New.
Condition: New.
Condition: New.
Condition: New.
Condition: New.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Seller: GuthrieBooks, Spring Branch, TX, U.S.A.
Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
23 cm. original paperback. 352 pp. references. "Lecture Notes in Computer Science". -(libr labels, library stamp on title, otherwise (very) good). 550g.
Language: English
Published by Association of Computing Machinery,U.S., US, 2023
ISBN 13: 9798400707384
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
First Edition
Paperback. Condition: New. 1st. 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 where 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 first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 46.31
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Paperback. Condition: New.