Sampling Strategies for Natural Resources and the Environment

Timothy G Gregoire (u. a.)

ISBN 10: 1032477849 / ISBN 13: 9781032477848

Published by Taylor & Francis Ltd (Sales), 2023

About this Item

Sampling Strategies for Natural Resources and the Environment | Timothy G Gregoire (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis Ltd (Sales) | EAN 9781032477848 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 133075658

Bibliographic Details

• Title: Sampling Strategies for Natural Resources and the Environment
• Publisher: Taylor & Francis Ltd (Sales)
• Publication Date: 2023
• Language: English
• ISBN 10: 1032477849
• ISBN 13: 9781032477848
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 25D millimeters 234 millimeters width by 156 millimeters height by 25 millimeters depth
• Weight: 689 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used in ecology, forestry, environmental science, and natural resources. The book presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis. In addition to common sampling designs such as simple random sampling and list sampling, the authors explore more specialized designs for sampling vegetation, including randomized branch sampling and 3P sampling. One of the book's unique features is the emphasis on areal sampling designs, including plot/quadrat sampling, Bitterlich sampling, line intersect sampling, and several lesser known designs. The book also provides comprehensive solutions to the problem of edge effect. Another distinguishing aspect is the inclusion of sampling designs for continuums, focusing on the methods of Monte Carlo integration. By presenting a conceptual understanding of each sampling design and estimation procedure as well as mathematical derivations and proofs in the chapter appendices, this text promotes a deep understanding of the underpinnings of sampling theory, estimation, and inference. Moreover, it will help you reliably sample natural populations and continuums.

About the Author

Timothy G. Gregoire, Harry T. Valentine