Da: HPB-Red, Dallas, TX, U.S.A.
EUR 25,25
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Aggiungi al carrellopaperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
EUR 25,21
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Aggiungi al carrellopaperback. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,73
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,67
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Da: Books Puddle, New York, NY, U.S.A.
EUR 53,99
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 55,33
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Da: Majestic Books, Hounslow, Regno Unito
EUR 53,51
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Editore: Sage Publications Ltd, London, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 62,81
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,08
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 55,12
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Da: Best Price, Torrance, CA, U.S.A.
EUR 60,34
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 64,88
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 69,66
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Aggiungi al carrelloPaperback. Condizione: New. We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 52,84
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Editore: SAGE Publications Ltd 2021-01-09, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 53,14
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Aggiungi al carrelloPaperback. Condizione: New.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 71,65
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 57,43
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 670.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,57
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 61,32
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Editore: SAGE Publications Ltd 2020-12-25, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 58,08
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 64,74
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 69,27
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Aggiungi al carrelloCondizione: New. 2021. 1st Edition. paperback. . . . . .
EUR 83,90
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Aggiungi al carrelloPaperback. Condizione: New. We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Da: Revaluation Books, Exeter, Regno Unito
EUR 63,10
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Aggiungi al carrelloPaperback. Condizione: Brand New. 336 pages. 9.50x6.75x0.75 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 85,69
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EUR 54,09
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Da: moluna, Greven, Germania
EUR 66,57
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Aggiungi al carrelloCondizione: New. Über den AutorAlexis Comber, Lex, is Professor of Spatial Data Analytics at Leeds Institute for Data Analytics (LIDA) the University of Leeds. He worked previously at the University of Leicester where he held a chair in Geographi.
Editore: Sage Publications Ltd, London, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 93,16
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 85,91
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Aggiungi al carrelloPaperback. Condizione: New. We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
EUR 64,42
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Aggiungi al carrelloPaperback. Condizione: New. We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.