Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
Intended as a text for upper-division undergraduates, graduate students and as a potential reference, this broad-scoped resource is extensive in its educational appeal by providing a new concept-based organization with end-of-chapter literature references, self-quizzes, and illustration interpretation. The concept-based, pedagogical approach, in contrast to the classic discipline-based approach, was specifically chosen to make the teaching and learning of plant anatomy more accessible for students. In addition, for instructors whose backgrounds may not primarily be plant anatomy, the features noted above are designed to provide sufficient reference material for organization and class presentation. This text is unique in the extensive use of over 1150 high-resolution color micrographs, color diagrams and scanning electron micrographs. Another feature is frequent side-boxes that highlight the relationship of plant anatomy to specialized investigations in plant molecular biology, classical investigations, functional activities, and research in forestry, environmental studies and genetics, as well as other fields. Each of the 19 richly-illustrated chapters has an abstract, a list of keywords, an introduction, a text body consisting of 10 to 20 concept-based sections, and a list of references and additional readings. At the end of each chapter, the instructor and student will find a section-by-section concept review, concept connections, concept assessment (10 multiple-choice questions), and concept applications. Answers to the assessment material are found in an appendix. An index and a glossary with over 700 defined terms complete the volume.
Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
This book was developed from the proceedings of the first North American Tannin Conference held in Port. Angeles, Washington, August 1988. The objective of the conference was to bring together people with a common interest in condensed tannins and to promote interdisciplinary interactions that will lead to a better understanding of these important substances. Anot. her objective was the publicat. ion of this book because there has not been a monograph devoted to the chemistry and significance of tannins for several decades. The book is organized into sections dealing with the biosynthesis, structure, re actions, complexation with other biopolymers, biological significance, and use of tannins as specialty chemicals. The authors made a special attempt to focus on what we don't know as well as to provide a summary of what we do know in an effort to assist in planning future research. Our thanks go to the authors who so kindly contributed chapters and so pa tiently responded to our requests. We also thank Rylee Geboski and the Conference Assist. ance Staff, College of Forestry, Oregon State University, for their assistance in planning and conducting t. he conference, and Julia Wilson, Debbie Wolfe, Helen Coletka, and Nancy Greene of the Southern Forest Experiment Station, Pineville, Louisiana, who typed the chapt. ers. Linda Chalker-Scott was especially helpful in assisting us wit. h editing. Dick Hemingway is indebted t. o the staff of the Alexandria Forest.
The fully updated industry-standard guide to maintenance planning and scheduling Written by a Certified Maintenance and Reliability Professional (CMRP) with more than three decades of experience, this thoroughly revised resource provides proven planning and scheduling strategies that will take any maintenance organization to the next level of performance. The book covers the accuracy of time estimates, the level of detail in job plans, creating schedules, staging material, utilizing a CMMS, and more, all designed for increasing your workforce without hiring. Maintenance Planning and Scheduling Handbook, Third Edition features major additions to the business case for planning and scheduling, new case studies, an expanded chapter on KPIs with sample calculations, a new chapter on successful outage management, and a new appendix illustrating how to easily conduct an in-house productivity study. New discussions reveal how the principles of planning and scheduling closely follow the timeless management principles of Dr. W. Edwards Deming and Dr. Peter F. Drucker. This comprehensive guide delivers the experience, advice, and know-how necessary to establish a world-class maintenance operation. Detailed coverage of: The business case for the benefit of planning Planning principles Scheduling principles Dealing with reactive maintenance Basic planning Advance scheduling Daily scheduling and supervision Forms and resources The computer in maintenance How planning interacts with preventive maintenance, predictive maintenance, and project work How to control planning and use associated KPIs for planning and overall maintenance Shutdown, turnaround, overhaul, and outage management Conclusion: start planning
This invaluable resource introduces the eleven types of organism that cause plant disease, ranging from higher plants to viroids and describes examples of cash and staple crop diseases that have caused human catastrophes. Early chapters cover serological and molecular techniques for the diagnosis of plant pathogens, epidemiology, methods for estimating disease severity and its effect on crop yields and techniques for limiting inoculum. Later chapters are concerned with colonisation of the plant and symptom development and the underlying biochemical and genetic factors that control these events. Finally, the control of plant disease using a variety of techniques including genetic modification is discussed. Modern diagnostic techniques Epidemiology and the measurement of disease severity The biochemistry and molecular biology of plant disease Control through cultural, biological, genetic and molecular techniques A wealth of examples and applications including full colour photographs
After a long career in agricultural research in the UK and then in Africa, Richard Gibson 'retired' and got an allotment. In his work, he had found that African smallholders often rejected varieties bred for them on research stations - and that participatory plant breeding (PPB) was the solution. He was somewhat surprised to find that modern varieties of vegetables also had, on the whole, not been bred to be 'fit for gardeners' purposes', instead commercial interests dominating. Once again, PPB seems appropriate but it takes some very recent and exciting developments to enable this to work for UK gardeners.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.