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  2. Geologi, geomorfologi og lithosfæren
  3. Geokemi

Sampling Techniques for Forest Inventories

Af: Daniel Mandallaz Engelsk Paperback

Sampling Techniques for Forest Inventories

Af: Daniel Mandallaz Engelsk Paperback
Tjek vores konkurrenters priser
Sound forest management planning requires cost-efficient approaches to optimally utilize given resources. Emphasizing the mathematical and statistical features of forest sampling to assess classical dendrometrical quantities, Sampling Techniques for Forest Inventories presents the statistical concepts and tools needed to conduct a modern forest inventory.

The book first examines design-based survey sampling and inference for finite populations, covering inclusion probabilities and the Horvitz–Thompson estimator, followed by more advanced topics, including three-stage element sampling and the model-assisted estimation procedure. The author then develops the infinite population model/Monte Carlo approach for both simple and complex sampling schemes. He also uses a case study to reveal a variety of estimation procedures, relies on anticipated variance to tackle optimal design for forest inventories, and validates the resulting optimal schemes with data from the Swiss National Forest Inventory. The last chapters outline facts pertaining to the estimation of growth and introduce transect sampling based on the stereological approach.

Containing many recent developments available for the first time in book form, this concise and up-to-date work provides the necessary theoretical and practical foundation to analyze and design forest inventories.

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Sound forest management planning requires cost-efficient approaches to optimally utilize given resources. Emphasizing the mathematical and statistical features of forest sampling to assess classical dendrometrical quantities, Sampling Techniques for Forest Inventories presents the statistical concepts and tools needed to conduct a modern forest inventory.

The book first examines design-based survey sampling and inference for finite populations, covering inclusion probabilities and the Horvitz–Thompson estimator, followed by more advanced topics, including three-stage element sampling and the model-assisted estimation procedure. The author then develops the infinite population model/Monte Carlo approach for both simple and complex sampling schemes. He also uses a case study to reveal a variety of estimation procedures, relies on anticipated variance to tackle optimal design for forest inventories, and validates the resulting optimal schemes with data from the Swiss National Forest Inventory. The last chapters outline facts pertaining to the estimation of growth and introduce transect sampling based on the stereological approach.

Containing many recent developments available for the first time in book form, this concise and up-to-date work provides the necessary theoretical and practical foundation to analyze and design forest inventories.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 272
ISBN-13: 9780367388430
Indbinding: Paperback
Udgave:
ISBN-10: 036738843X
Kategori: Geokemi
Udg. Dato: 19 sep 2019
Længde: 19mm
Bredde: 234mm
Højde: 153mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 19 sep 2019
Forfatter(e): Daniel Mandallaz
Forfatter(e) Daniel Mandallaz

Kategori Geokemi

ISBN-13 9780367388430

Sprog Engelsk

Indbinding Paperback

Sider 272

Udgave

Længde 19mm

Bredde 234mm

Højde 153mm

Udg. Dato 19 sep 2019

Oplagsdato 19 sep 2019

Forlag Taylor & Francis Ltd

Kategori sammenhænge