Database Management Applications in Forestry Research
Title | Database Management Applications in Forestry Research PDF eBook |
Author | Dietmar Rose |
Publisher | Bib. Orton IICA / CATIE |
Pages | 126 |
Release | 1989 |
Genre | Costa Rica |
ISBN | 9789977570525 |
The Management of Large-scale Forestry Research Programs and Projects
Title | The Management of Large-scale Forestry Research Programs and Projects PDF eBook |
Author | International Union of Forestry Research Organizations. Subject Group S6.06, Management of Forestry Research. Meeting |
Publisher | |
Pages | 244 |
Release | 1989 |
Genre | Forest management |
ISBN |
Database Management
Title | Database Management PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1981 |
Genre | |
ISBN |
Database Management
Title | Database Management PDF eBook |
Author | Dennis Leland Murphy |
Publisher | |
Pages | 9 |
Release | 1981 |
Genre | Database management |
ISBN |
Geographic Information Systems
Title | Geographic Information Systems PDF eBook |
Author | Pete Bettinger |
Publisher | McGraw-Hill Science, Engineering & Mathematics |
Pages | 246 |
Release | 2004 |
Genre | Nature |
ISBN |
Publisher Description
International Council for Research in Agroforestry: annual report, 1988
Title | International Council for Research in Agroforestry: annual report, 1988 PDF eBook |
Author | |
Publisher | World Agroforestry Centre |
Pages | 55 |
Release | |
Genre | |
ISBN | 9290590602 |
Statistical Methods and Applications in Forestry and Environmental Sciences
Title | Statistical Methods and Applications in Forestry and Environmental Sciences PDF eBook |
Author | Girish Chandra |
Publisher | Springer Nature |
Pages | 290 |
Release | 2020-01-04 |
Genre | Medical |
ISBN | 9811514763 |
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.