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Author: Michail Prodan Publisher: Elsevier ISBN: 1483156559 Category : Mathematics Languages : en Pages : 461
Book Description
Forest Biometrics presents the methods of mathematical statistics and biometrics that are significant to forestry. This book explores other fields related to forestry, which are explained with the help of a large number of practical examples. Organized into 25 chapters, this book starts with an overview of the variety of data that play a significant role in forest management, including the age of trees, the damage caused by storms, the fluctuation of timber prices, bark beetle infestation, and timber volume. This text then examines the factors that are responsible for a random distribution of the values in biological experimentation. Other chapters consider the important advantages of sample surveys compared to complete enumerations, include cheaper samples, wider applicability, quick results, and greater accuracy. The final chapter deals with the factors to be considered in determining the best time for harvesting of timber. This book is a valuable resource for students, research project leaders, and practical workers.
Author: Michail Prodan Publisher: Elsevier ISBN: 1483156559 Category : Mathematics Languages : en Pages : 461
Book Description
Forest Biometrics presents the methods of mathematical statistics and biometrics that are significant to forestry. This book explores other fields related to forestry, which are explained with the help of a large number of practical examples. Organized into 25 chapters, this book starts with an overview of the variety of data that play a significant role in forest management, including the age of trees, the damage caused by storms, the fluctuation of timber prices, bark beetle infestation, and timber volume. This text then examines the factors that are responsible for a random distribution of the values in biological experimentation. Other chapters consider the important advantages of sample surveys compared to complete enumerations, include cheaper samples, wider applicability, quick results, and greater accuracy. The final chapter deals with the factors to be considered in determining the best time for harvesting of timber. This book is a valuable resource for students, research project leaders, and practical workers.
Author: United States. Bureau of the Census Publisher: ISBN: Category : United States Languages : en Pages : 658
Book Description
Contains annual, time-series data with national coverage on almost any aspect of United States economics, population or infrastructure since the government began recording statistics. Part 1 covers: Population. Vital statistics and health and medical care. Migration. Labor. Prices and price indexes. National income and wealth. Consumer income and expenditures. Social statistics. Land, water, and climate. Agriculture. Forestry and fisheries. Minerals. Part 2 covers: Construction and housing. Manufactures. Transportation. Communications. Energy. Distribution and services. International transactions and foreign commerce. Business enterprise. Productivity and technological development. Financial markets and institutions.
Author: Andrew P. Robinson Publisher: Springer Science & Business Media ISBN: 1441977627 Category : Medical Languages : en Pages : 342
Book Description
Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.
Author: United States. Bureau of the Census Publisher: ISBN: Category : History Languages : en Pages : 670
Book Description
Contains annual, time-series data with national coverage on almost any aspect of United States economics, population or infrastructure since the government began recording statistics. Part 1 covers: Population. Vital statistics and health and medical care. Migration. Labor. Prices and price indexes. National income and wealth. Consumer income and expenditures. Social statistics. Land, water, and climate. Agriculture. Forestry and fisheries. Minerals. Part 2 covers: Construction and housing. Manufactures. Transportation. Communications. Energy. Distribution and services. International transactions and foreign commerce. Business enterprise. Productivity and technological development. Financial markets and institutions.
Author: Erkki Tomppo Publisher: Springer Science & Business Media ISBN: 1402087136 Category : Technology & Engineering Languages : en Pages : 383
Book Description
Building on more than a decade of innovative research into multi-source forest inventory (MS-NFI) this book presents full details of the development, outputs and applications of the improved k-NN method. The method, which was pioneered in Finland in 1990, is rapidly becoming a world standard in forest inventory, having been adopted as standard in Finland and Sweden, and recently introduced in Austria and across the US. The book describes in detail the full MS-NFI process, and the input data used – including field data, satellite images, and digital map data, as well as coarse-scale variation of forest variables. It also presents comprehensive information on the types of outputs which can be derived, including maps and statistics, describing, for example, stock volumes and development, dominant tree species, age-class distribution, and large and small-scale variation. The book will provide an invaluable resource for those involved in forest inventory, including government departments and bodies involved in forest policy, management and monitoring, forest managers, and researchers and graduate students interested in forest inventory, modelling and analysis. It will find an additional market among those interested in Earth observation, ecology and broader areas of environmental and natural resource management. Erkki Tomppo was the winner of the 1997 Marcus Wallenberg Prize for his work on the k-NN method.
Author: Annika Kangas Publisher: Springer Science & Business Media ISBN: 1402043813 Category : Technology & Engineering Languages : en Pages : 368
Book Description
This book has been developed as a forest inventory textbook for students and could also serve as a handbook for practical foresters. We have set out to keep the mathematics in the book at a fairly non-technical level, and therefore, although we deal with many issues that include highly sophisticated methodology, we try to present first and foremost the ideas behind them. For foresters who need more details, references are given to more advanced scientific papers and books in the fields of statistics and biometrics. Forest inventory books deal mostly with sampling and measurement issues, as found here in section I, but since forest inventories in many countries involve much more than this, we have also included material on forestry applications. Most applications nowadays involve remote sensing technology of some sort, so that section II deals mostly with the use of remote sensing material for this purpose. Section III deals with national inventories carried out in different parts of world, and section IV is an attempt to outline some future possibilities of forest inventory methodologies. The editors, Annika Kangas Professor of Forest Mensuration and Management, Department of Forest Resource Management, University of Helsinki. Matti Maltamo Professor of Forest Mensuration, Faculty of Forestry, University of Joensuu. ACKNOWLEDGEMENTS
Author: Michail Prodan
Author: Michail Prodan
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Author: United States. Bureau of the Census
Author: Andrew P. Robinson
Author: United States. Bureau of the Census
Author: 
Author: United States. Bureau of the Census
Author: Erkki Tomppo
Author: 
Author: Annika Kangas