
Sampling Methods for Multiresource Forest Inventory
Wiley (Publisher)
1st Edition
Published on 20. April 1993
Book
Hardback
464 pages
978-0-471-55245-1 (ISBN)
Description
Designed to aid readers in gathering the most reliable quantitative information on forests for the least cost. Thoroughly explains the interrelationships between sampling strategies; discusses forestry techniques of efficient tactics; examines new developments in statistics having immediate applications in forestry and describes related developments that should have relevance in the future. Includes practical methods for dealing with forest data such as tree number, height, diameter and marketable wood. Also contains problem sets.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 29 mm
Weight
859 gr
ISBN-13
978-0-471-55245-1 (9780471552451)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Hans T. Schreuder and Timothy G. Gregoire are the authors of Sampling Methods for Multiresource Forest Inventory, published by Wiley.
Author
Forest Service, Fort Collins, Colorado
Virginia Polytechnic Institute and State University, Blacksburg
Australian National University, Canberra
Content
Focus, Fundamental Concepts, and Theory.
Probabilistic Sampling Strategies.
Forest Sampling--Single Level.
Multi-Information Sources for Sampling.
Model-Based Inference.
Mensurational Aspects of Forest Inventory.
Related Sampling Topics.
Related Estimation Topics.
Future Directions in Multiresource Sampling in Forestry.
References.
Answers to the Problems.
Index.
Probabilistic Sampling Strategies.
Forest Sampling--Single Level.
Multi-Information Sources for Sampling.
Model-Based Inference.
Mensurational Aspects of Forest Inventory.
Related Sampling Topics.
Related Estimation Topics.
Future Directions in Multiresource Sampling in Forestry.
References.
Answers to the Problems.
Index.