Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 156,04
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 147,80
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: California Books, Miami, FL, U.S.A.
EUR 191,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 694.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 200,94
Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
Quantità: 1 disponibili
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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 234,94
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 694 pages. 9.25x6.10x1.50 inches. In Stock.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Da: moluna, Greven, Germania
EUR 136,16
Quantità: Più di 20 disponibili
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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 198,82
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 694.
Da: preigu, Osnabrück, Germania
EUR 141,20
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Spatial Modeling in Forest Resources Management | Rural Livelihood and Sustainable Development | Pravat Kumar Shit (u. a.) | Buch | xix | Englisch | 2020 | Springer | EAN 9783030565411 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 206,69
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 694.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer International Publishing Okt 2020, 2020
ISBN 10: 3030565416 ISBN 13: 9783030565411
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
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.