Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 153,29
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 153,29
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Da: Best Price, Torrance, CA, U.S.A.
EUR 148,20
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Da: Best Price, Torrance, CA, U.S.A.
EUR 148,20
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Editore: Springer International Publishing, 2021
ISBN 10: 3030565440 ISBN 13: 9783030565442
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources.Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner.By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.
Editore: Springer International Publishing, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources.Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner.By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.
Editore: Springer International Publishing, Springer Nature Switzerland Okt 2021, 2021
ISBN 10: 3030565440 ISBN 13: 9783030565442
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources.Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner.By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 696 pp. Englisch.
Da: California Books, Miami, FL, U.S.A.
EUR 193,10
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Da: Books Puddle, New York, NY, U.S.A.
EUR 195,32
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Aggiungi al carrelloCondizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Da: Books Puddle, New York, NY, U.S.A.
EUR 195,69
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Aggiungi al carrelloCondizione: New. pp. 694.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 157,34
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 157,53
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Da: Revaluation Books, Exeter, Regno Unito
EUR 238,72
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Aggiungi al carrelloHardcover. Condizione: Brand New. 694 pages. 9.25x6.10x1.50 inches. In Stock.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030565440 ISBN 13: 9783030565442
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 136,16
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in .
Editore: Springer International Publishing, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 136,16
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written in reader-friendly, lucid languagePresents clear concepts of geospatial techniquesIncludes case studies that apply modern machine learning modelsMotivates general readers as well as researchers to become involved in forest reso.
Editore: Springer International Publishing Okt 2021, 2021
ISBN 10: 3030565440 ISBN 13: 9783030565442
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources.Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner.By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications. 696 pp. Englisch.
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources.Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner.By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications. 696 pp. Englisch.
Editore: Springer Nature Switzerland, Springer International Publishing Okt 2020, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources.Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner.By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 696 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 202,83
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Da: Majestic Books, Hounslow, Regno Unito
EUR 202,84
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 694.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 211,03
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 211,06
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 694.