Spatial Modeling in Forest Resources Management (eBook)

Rural Livelihood and Sustainable Development
Artikelnummer: 978-3-030-56542-8
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 177.00
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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.

 


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.

 


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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2020
Seitenangabe675 S.
AusgabekennzeichenEnglisch
AbbildungenXIX, 675 p. 215 illus., 188 illus. in color.
Masse27'906 KB
PlattformPDF
ReiheEnvironmental Science and Engineering; Earth and Environmental Science; Earth and Environmental Science
AutorShit, Pravat Kumar (Hrsg.) / Pourghasemi, Hamid Reza (Hrsg.) / Das, Pulakesh (Hrsg.) / Bhunia, Gouri Sankar (Hrsg.)

Alle Bände der Reihe "Environmental Science and Engineering; Earth and Environmental Science; Earth and Environmental Science (R0)"

Weitere Titel von Pravat Kumar (Hrsg.) Shit

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