Record Display for the EPA National Library Catalog
RECORD NUMBER: 1379 OF 1721Main Title | Sampling techniques for forest inventories / | |||||||||||
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Author | Mandallaz, Daniel. | |||||||||||
Publisher | Chapman & Hall/CRC, | |||||||||||
Year Published | 2008 | |||||||||||
OCLC Number | 156994416 | |||||||||||
ISBN | 9781584889762; 1584889764 | |||||||||||
Subjects | Forest surveys ; Stichprobennahme ; Waldinventur ; Stichprobennahme--(DE-588)4183250-4 ; Waldinventur--(DE-588)4064394-3 | |||||||||||
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Collation | xv, 256 pages : illustrations, maps ; 25 cm. | |||||||||||
Notes | Includes bibliographical references (pages 247-251) and index. |
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Contents Notes | Sampling finite populations: the essentials -- Sampling finite populations: advanced topics -- Forest inventory: one-phase sampling schemes -- Forest inventory: two-phase sampling schemes -- Forest inventory: advanced topics -- Geostatistics -- Case study -- Optimal sampling schemes for forest inventory -- The Swiss National Forest Inventory -- Estimating change and growth -- Transect-sampling. Sampling nite populations: the essentials -- Sampling nite populations: advanced topics -- Forest inventory: one-phase sampling schemes -- Forest inventory: two-phase sampling schemes -- Forest inventory: advanced topics -- Geostatistics -- Case study 147 -- Optimal sampling schemes for forest inventory -- The Swiss National Forest Inventory -- Estimating change and growth -- Transect-sampling. "Sound forest management planning requires cost-efficient approaches to optimally utilize the 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 large finite populations, 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."--Jacket. |