Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by Sage Publications Ltd, London, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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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.
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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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
Language: English
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Published by Sage Publications Ltd, GB, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Add to basketPaperback. Condition: 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.
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd 2021-01-09, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd 2020-12-25, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by Sage Publications Ltd, GB, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Paperback. Condition: 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.
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Add to basketPaperback. Condition: Brand New. 336 pages. 9.50x6.75x0.75 inches. In Stock.
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449366 ISBN 13: 9781526449368
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Add to basketCondition: 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.
Published by Sage Publications Ltd, London, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Add to basketPaperback. 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.
Published by Sage Publications Ltd, GB, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condition: 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.
Published by Sage Publications Ltd, GB, 2020
ISBN 10: 1526449366 ISBN 13: 9781526449368
Language: English
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Add to basketPaperback. Condition: 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.
Published by SAGE Publications Ltd, 2021
ISBN 10: 1526449358 ISBN 13: 9781526449351
Language: English
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