R. W. Payne

Bio: R. W. Payne is an academic researcher from Rothamsted Research. The author has contributed to research in topics: Identification (biology) & Generalized linear mixed model. The author has an hindex of 25, co-authored 92 publications receiving 7608 citations. Previous affiliations of R. W. Payne include University of Hertfordshire & The Hertz Corporation.

Yeasts: Characteristics and Identification

Abstract: The most up-to-date yeast identification and reference manual ever published. Includes descriptions of the 678 currently recognised species and over 1300 high quality photomicrographs. Readily usable keys and tables allow identification of all of the species described.

Genstat 5 Reference Manual

Abstract: Part 1 Introduction, terminology and syntax: Genstat programs characters items lists expressions and formulae statements how to compact programs conventions for examples in later chapters. Part 2 The environment of a Genstat program: information about the system how to set details of the environment accessing details of the environment of a program saving space accessing details of data structures. Part 3 Data structures: declarations single-valued data structures vectors and pointers matrices tables compound structures. Part 4 Input and output: reading data printing data getting access to external files transferring input and output control storing and retrieving structures storing and retrieving data and programs in unformatted files. Part 5 Data handling: numerical calculations functions for use in expressions transferring and manipulating values operations on text, factors, pointers, matrices and compound structures and tables. Part 6 Job control: Genstat programs program control in Genstat procedures debugging Genstat programs. Part 7 Graphical display: line-printer graphics the environment for high-quality graphics. Part 8 Regression analysis: simple and multiple linear regression linear regression with grouped or qualitative data generalized linear regression standard nonlinear curves general nonlinear regression, and minimized a function. Part 9 Analysis of designed experiments: designs with a single error term designs with several error terms analysis of covariance missing values contrasts between treatments saving information from an analysis of variance non-orthogonality and balance. Part 10 Multivariate and cluster analysis: analyses based on sums of squares and products forming measures of association ordination from associations hierarchical cluster analysis directives associated with hierarchical clustering non-hierarchical classification Procrustes rotation. Part 11 Analysis of time series: correlation Fourier transformation ARIMA modelling regression with autocorrelated (ARIMA) errors multi-input transfer-function models filtering time series forming preliminary estimates and displaying models. Part 12 Extending Genstat: writing programs in the Genstat language adding Fortran subprograms with OWN directive running an external program with the PASS directive defining new directives communicating with other programs. Appendices: the Genstat language data handling statistical analyses diagnostics.

Genstat 5 release 3 reference manual

Abstract: 1. Introduction, terminology, and syntax 2. Data structures 3. Input and output 4. Data handling 5. Programming in Genstat 6. Graphical display 7. Basic statistics 8. Regression analysis 9. Design and analysis of experiments 10. REML estimation of variance components and analysis of unbalanced designs 11. Multivariate and cluster analysis 12. Analysis of time series 13. Customizing and extending Genstat Appendix 1: List of Genstat directives Appendix 2: Release 3[1] of the procedure library References Index

Yeasts : characteristics and identification

Abstract: The most up-to-date yeast identification and reference manual ever published. Includes descriptions of the 678 currently recognised species and over 1300 high quality photomicrographs. Readily usable keys and tables allow identification of all of the species described.

Analysis of the relationships between environmental factors (aeroallergens air pollution and weather) and asthma emergency admissions to a hospital in Mexico City

Abstract: There have been several studies of the relationships between environmental factors, particularly air pollution, and attacks of asthma. Most of these studies have ignored the potential confounding effects of aeroallergens such as pollens and fungal spores. We report a statistical analysis of the relationships between emergency admissions for asthma to a hospital in Mexico City and daily average airborne concentrations of pollen, fungal spores, air pollutants (O3, NO2, SO2, and particulates) and weather factors. Asthma admissions had a seasonal pattern with more during the wet season (May-October) than the dry season (November-April). There were few statistical associations between asthma admissions and air pollutants for the three age groups studied (children under 15 years, adults, and seniors [adults over 59 years]) in either season. Grass pollen was associated with child and adult admissions for both the wet and dry seasons, and fungal spores were associated with child admissions during both the wet and dry seasons. The analysis was done with environmental data averaged over the day of admission and the 2 previous days. Our results suggest that aeroallergens may be statistically associated more strongly with asthma hospital admissions than air pollutants and may act as confounding factors in epidemiologic studies.

Classification and regression trees

Abstract: The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

Agricultural sustainability and intensive production practices

Abstract: A doubling in global food demand projected for the next 50 years poses huge challenges for the sustainability both of food production and of terrestrial and aquatic ecosystems and the services they provide to society. Agriculturalists are the principal managers of global useable lands and will shape, perhaps irreversibly, the surface of the Earth in the coming decades. New incentives and policies for ensuring the sustainability of agriculture and ecosystem services will be crucial if we are to meet the demands of improving yields without compromising environmental integrity or public health.

European phenological response to climate change matches the warming pattern

Abstract: Global climate change impacts can already be tracked in many physical and biological systems; in particular, terrestrial ecosystems provide a consistent picture of observed changes. One of the preferred indicators is phenology, the science of natural recurring events, as their recorded dates provide a high-temporal resolution of ongoing changes. Thus, numerous analyses have demonstrated an earlier onset of spring events for mid and higher latitudes and a lengthening of the growing season. However, published single-site or single-species studies are particularly open to suspicion of being biased towards predominantly reporting climate change-induced impacts. No comprehensive study or meta-analysis has so far examined the possible lack of evidence for changes or shifts at sites where no temperature change is observed. We used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971–2000). Our results showed that 78% of all leafing, flowering and fruiting records advanced (30% significantly) and only 3% were significantly delayed, whereas the signal of leaf colouring/fall is ambiguous. We conclude that previously published results of phenological changes were not biased by reporting or publication predisposition: the average advance of spring/summer was 2.5 days decade � 1 in Europe. Our analysis of 254 mean national time series undoubtedly demonstrates that species’ phenology is responsive to temperature of the preceding