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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Published by SAGE Publications Ltd, London, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Paperback. Condition: 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.
Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Published by SAGE Publications Ltd, 2021
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Published by SAGE Publications Ltd, London, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Paperback. Condition: 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.
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
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Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Print on Demand.
Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Geographical Data Science and Spatial Data Analysis | An Introduction in R | Lex Comber (u. a.) | Taschenbuch | Spatial Analytics and GIS | Kartoniert / Broschiert | Englisch | 2020 | SAGE Publishing Ltd | EAN 9781526449368 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 considerSpatial 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, buildingon the previous book by the same authors,An Introduction to R for Spatial Analysis and Mapping. It detailsthe theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book builds on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping, to consider Spatial Data (ie the location attached to data), issues of inference, linking Big Data, Geography / GIS / Mapping and Spatial Analytics. A 'learning by doing' text book, it covers important theoretical issues and helps to develop practical skills in the reader for addressing these.