Numbers in Presence and Absence
Author: J.P. Miller
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 166
ISBN-13: 9400976240
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Author: J.P. Miller
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 166
ISBN-13: 9400976240
DOWNLOAD EBOOKAuthor: Peter Burton Adams
Publisher:
Published: 1999
Total Pages: 36
ISBN-13:
DOWNLOAD EBOOK"This report is a summary of the presence and absence of coho salmon, Oncorhynchus kisutch, in streams in the Central California Coast Evolutionary Significant Unit (ESU). Only streams with historical records of coho occupancy are considered. It has been prepared to assist in Endangered Species Act activities... Presence absence data used here come from surveys conducted for this study and fron data collected by other researchers. A preliminary report of this data, which included only approximately one-half of these streams, was published earlier... to meet earlier listing requirements."--p.Abstract.
Author: Auravana
Publisher: Travis A. Grant
Published:
Total Pages: 225
ISBN-13:
DOWNLOAD EBOOKThis publication is the Material System for a community-type society. A material system describes the organized structuring of a material environment; the material structuring of community. This material system standard identifies the structures, technologies, and other processes constructed and operated in a material environment, and into a planetary ecology. A material system encodes and expresses our resolved decisions. When a decision resolves into action, that action is specified to occur in the material system. Here, behavior influences the environment, and in turn, the environment influences behavior. The coherent integration and open visualization of the material systems is important if creations are to maintain the highest level of fulfillment for all individuals. This standard represents the encoding of decisions into an environment forming lifestyles within a habitat service system. The visualization and simulation of humanity’s connected material integrations is essential for maintaining a set of complex, fulfillment-oriented material constructions. As such, the material system details what has been, what is, and what could be constructed [from our information model] into our environment. This specification depicts, through language and symbols, visualization, and simulation, a material environment consisting of a planetary ecology and embedded network of integrated city systems. For anything that is to be constructed in the material system, there is a written part, a drawing part, and a simulation part, which is also how the material system is sub-divided.
Author: P. Legendre
Publisher: Elsevier
Published: 2012-07-21
Total Pages: 1007
ISBN-13: 0444538690
DOWNLOAD EBOOKThe book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. - An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data - Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods - All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research - All calculations are available in R language functions
Author: Antoine Guisan
Publisher: Cambridge University Press
Published: 2017-09-14
Total Pages: 513
ISBN-13: 1108508499
DOWNLOAD EBOOKThis book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Author: Carsten Wiuf
Publisher: OUP Oxford
Published: 2009-06-18
Total Pages: 217
ISBN-13: 0191579955
DOWNLOAD EBOOKMolecular understanding of cancer and cancer progression is at the forefront of many research programs today. High-throughput array technologies and other modern molecular techniques produce a wealth of molecular data about the structure, and function of cells, tissues, and organisms. Correctly analyzed and interpreted these data hold the promise of bringing new markers for prognostic and diagnostic use, for new treatment schemes, and of gaining new biological insight into the evolution of cancer and its molecular, pathological, and clinical consequences. Aimed at graduates and researchers, this book discusses novel advances in informatics and statistics in molecular cancer research. Through eight chapters from carefully chosen experts it brings the reader up to date with specific topics in cancer research, how the topics give rise to development of new informatics and statistics tools, and how the tools can be applied. The focus of the book is to give the reader an understanding of key concepts and tools, rather than focusing on technical issues. A main theme is the extensive use of array technologies in modern cancer research - gene expression and exon arrays, SNP and copy number arrays, and methylation arrays - to derive quantitative and qualitative statements about cancer, its progression and aetiology, and to understand how these technologies on one hand allow us learn about cancer tissue as a complex system and on the other hand allow us to pinpoint key genes and events as crucial for the development of the disease.
Author: Andreas Wagner
Publisher: OUP Oxford
Published: 2011-07-14
Total Pages: 264
ISBN-13: 0191621862
DOWNLOAD EBOOKThe history of life is a nearly four billion year old story of transformative change. This change ranges from dramatic macroscopic innovations such as the evolution of wings or eyes, to a myriad of molecular changes that form the basis of macroscopic innovations. We are familiar with many examples of innovations (qualitatively new phenotypes that provide a critical benefit) but have no systematic understanding of the principles that allow organisms to innovate. This book proposes several such principles as the basis of a theory of innovation, integrating recent knowledge about complex molecular phenotypes with more traditional Darwinian thinking. Central to the book are genotype networks: vast sets of connected genotypes that exist in metabolism and regulatory circuitry, as well as in protein and RNA molecules. The theory can successfully unify innovations that occur at different levels of organization. It captures known features of biological innovation, including the fact that many innovations occur multiple times independently, and that they combine existing parts of a system to new purposes. It also argues that environmental change is important to create biological systems that are both complex and robust, and shows how such robustness can facilitate innovation. Beyond that, the theory can reconcile neutralism and selectionism, as well as explain the role of phenotypic plasticity, gene duplication, recombination, and cryptic variation in innovation. Finally, its principles can be applied to technological innovation, and thus open to human engineering endeavours the powerful principles that have allowed life's spectacular success.
Author: Susann Müller
Publisher: Springer Science & Business Media
Published: 2011-03-04
Total Pages: 242
ISBN-13: 3642168868
DOWNLOAD EBOOKLight Microscopic Analysis of Mitochondrial Heterogeneity in Cell Populations and Within Single Cells, by S. Jakobs, S. Stoldt, and D. Neumann * Advanced Microscopy of Microbial Cells, by J. A. J. Haagensen, B. Regenberg, and C. Sternberg * Algebraic and Geometric Understanding of Cells, Epigenetic Inheritance of Phenotypes Between Generations, by K. Yasuda * Measuring the Mechanical Properties of Single Microbial Cells, by C. R. Thomas, J. D. Stenson, and Z. Zhang * Single Cell Analytics: Pushing the Limits of the Doable, by H. Kortmann, L.M. Blank, and A. Schmid * Cultivation-Independent Assessment of Bacterial Viability, by F. Hammes, M. Berney, and T. Egli * Resolution of Natural Microbial Community Dynamics by Community Fingerprinting, Flow Cytometry and Trend Interpretation Analysis, by P. Bombach, T. Hübschmann, I. Fetzer, S. Kleinsteuber, R. Geyer, H. Harms, and S. Müller *Multivariate Data Analysis Methods for the Interpretation of Microbial Flow Cytometric Data, by H.M. Davey, and C.L. Davey * From Single Cells to Microbial Population Dynamics: Modelling in Biotechnology Based on Measurements of Individual Cells, by T. Bley
Author: R. H. Jongman
Publisher: Cambridge University Press
Published: 1995-03-02
Total Pages: 325
ISBN-13: 0521475740
DOWNLOAD EBOOKEcological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.