Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
EUR 33,70
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Ajouter au panierPaperback. Etat : Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Vendeur : Goodbooks Company, Springdale, AR, Etats-Unis
EUR 35,97
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Ajouter au panierEtat : acceptable. This copy may contain significant wear, including bending, heavy writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose pages. May not include access codes or CDs. May be an Ex library book with stickers and stamps. Dustjacket may be missing.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 44,12
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Ajouter au panierpaperback. Etat : Fine.
EUR 74,47
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EUR 74,78
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 78,63
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EUR 75,33
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 71,32
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EUR 68,36
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 68,33
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Ajouter au panierpaperback. Etat : New.
EUR 75,96
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Taylor and Francis Ltd, GB, 2025
ISBN 10 : 1032248882 ISBN 13 : 9781032248882
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 95,22
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The book provides a foundation for learning how to solve a wide range of geographic data analysis problems in a reproducible, and therefore scientifically sound and scalable way. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing, detailed coverage of the spherical geometry engine s2, updated information on coordinate reference systems and new content on openEO, STAC, COG, and gdalcubes. The data visualization chapter has been revamped around version 4 of the tmap package, providing a fresh perspective on creating publication-quality maps from the command line. The importance of the book is also highlighted in a new foreword by Edzer Pebesma.The book equips you with the knowledge and skills necessary to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. The book is especially well-suited to:Data scientists and engineers interested in upskilling to handle spatial data.People with existing geographic data skills interested in developing powerful geosolutions via code.Anyone who needs to work with spatial data in a reproducible and scalable way.The book is divided into three parts: Foundations, Extensions, and Applications, covering progressively more advanced topics. The exercises at the end of each chapter provide the necessary skills to address various geospatial problems, with solutions and supplementary materials available at r.geocompx.org/solutions/.
EUR 92,09
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Ajouter au panierEtat : New. 2nd edition NO-PA16APR2015-KAP.
EUR 86,54
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EUR 86,26
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Ajouter au panierPaperback. Etat : Brand New. 335 pages. 9.00x6.00x0.75 inches. In Stock.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 104,18
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Ajouter au panierPaperback. Etat : Brand New. 2nd edition. 399 pages. 9.00x6.00x0.75 inches. In Stock.
EUR 77,45
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Ajouter au panierEtat : New. The authors are well-established geospatial researchers and teachers. Dr. Robin Lovelace is an Associate Professor at the University of Leeds, is the developer of high impact applications for more data-driven transport planning and policy. Dr. .
Edité par Taylor and Francis Ltd, GB, 2025
ISBN 10 : 1032248882 ISBN 13 : 9781032248882
Langue: anglais
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 98,80
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The book provides a foundation for learning how to solve a wide range of geographic data analysis problems in a reproducible, and therefore scientifically sound and scalable way. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing, detailed coverage of the spherical geometry engine s2, updated information on coordinate reference systems and new content on openEO, STAC, COG, and gdalcubes. The data visualization chapter has been revamped around version 4 of the tmap package, providing a fresh perspective on creating publication-quality maps from the command line. The importance of the book is also highlighted in a new foreword by Edzer Pebesma.The book equips you with the knowledge and skills necessary to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. The book is especially well-suited to:Data scientists and engineers interested in upskilling to handle spatial data.People with existing geographic data skills interested in developing powerful geosolutions via code.Anyone who needs to work with spatial data in a reproducible and scalable way.The book is divided into three parts: Foundations, Extensions, and Applications, covering progressively more advanced topics. The exercises at the end of each chapter provide the necessary skills to address various geospatial problems, with solutions and supplementary materials available at r.geocompx.org/solutions/.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 113,87
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Ajouter au panierHardcover. Etat : New. New. book.
Edité par Taylor and Francis Ltd, GB, 2025
ISBN 10 : 1032248882 ISBN 13 : 9781032248882
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 89,33
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New. Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The book provides a foundation for learning how to solve a wide range of geographic data analysis problems in a reproducible, and therefore scientifically sound and scalable way. The second edition features numerous updates, including the adoption of the high-performance terra package for all raster data processing, detailed coverage of the spherical geometry engine s2, updated information on coordinate reference systems and new content on openEO, STAC, COG, and gdalcubes. The data visualization chapter has been revamped around version 4 of the tmap package, providing a fresh perspective on creating publication-quality maps from the command line. The importance of the book is also highlighted in a new foreword by Edzer Pebesma.The book equips you with the knowledge and skills necessary to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. The book is especially well-suited to:Data scientists and engineers interested in upskilling to handle spatial data.People with existing geographic data skills interested in developing powerful geosolutions via code.Anyone who needs to work with spatial data in a reproducible and scalable way.The book is divided into three parts: Foundations, Extensions, and Applications, covering progressively more advanced topics. The exercises at the end of each chapter provide the necessary skills to address various geospatial problems, with solutions and supplementary materials available at r.geocompx.org/solutions/.
EUR 199,66
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 209,39
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EUR 212,94
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Ajouter au panierEtat : New. 2nd edition NO-PA16APR2015-KAP.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 205,08
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Ajouter au panierEtat : New. In.
EUR 204,01
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EUR 220
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 217,57
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EUR 226,04
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Ajouter au panierEtat : As New. Unread book in perfect condition.