Taylor s Power Law

Taylor's Power Law: Order and Pattern in Nature is a broad synthesis of this ubiquitous property of natural and man-made phenomena. This stimulating and approachable work surveys the biological and non-biological empirical data, describes the statistical uses of Taylor’s power law (TPL) and its relationship to statistical distributions, exposes the mathematical connections to other power laws, covers the competing explanatory models; and develops an argument for TPL's genesis. Taylor’s power law relates the variability of a process or population to its average value. It was first described in relation to insect populations and then more broadly to other animal and plant populations. Subsequently it has been recognized in microbiology, genetics, economics, astronomy, physics, and computer science, and it is thought to be one of the few general laws in ecology where it is routinely used to describe the spatial and temporal distributions of populations. Biologists who know the law as Taylor's power law and physical scientists who know it as fluctuation scaling will be interested in the bigger picture on this fascinating subject. As the relationship between variance and mean is found in so wide a range of disciplines, it seems possible it is a deep property of number, not just a phenomenon in ecology as was thought originally. Although theories abound that purport to explain or predict TPL, none is entirely satisfactory either because it fails to be very predictive, or it does not account for all the available empirical data. To uncover such a property requires a synthesis across disciplines, an acute need that is approached by this exciting work. Provides a single reference describing the properties, scope, and limitations of Taylor’s power law Reports the empirical, analytical, and theoretical work without opinion and ends with a critique of the work in order to develop a synthesis Collects together thoughts and suggestions of the hundreds who have written and speculated about Taylor’s power law in order to review examples (and counter-examples), as well as examine the various models developed to account for it

Produk Detail:

  • Author : R.A.J. Taylor
  • Publisher : Academic Press
  • Pages : 657 pages
  • ISBN : 0128109882
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKTaylor s Power Law

Taylor's Power Law

Taylor's Power Law
  • Author : R.A.J. Taylor
  • Publisher : Academic Press
  • Release : 20 June 2019
GET THIS BOOKTaylor's Power Law

Taylor's Power Law: Order and Pattern in Nature is a broad synthesis of this ubiquitous property of natural and man-made phenomena. This stimulating and approachable work surveys the biological and non-biological empirical data, describes the statistical uses of Taylor’s power law (TPL) and its relationship to statistical distributions, exposes the mathematical connections to other power laws, covers the competing explanatory models; and develops an argument for TPL's genesis. Taylor’s power law relates the variability of a process or

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  • Publisher : CRC Press
  • Release : 18 January 2018
GET THIS BOOKIndividual-Based Models and Approaches In Ecology

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  • Publisher : ReadHowYouWant.com
  • Release : 01 June 2010
GET THIS BOOKSecrets of Attraction

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  • Publisher : CRC Press
  • Release : 17 December 1993
GET THIS BOOKHandbook of Sampling Methods for Arthropods in Agriculture

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  • Publisher : Routledge
  • Release : 08 September 2017
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  • Publisher : John Wiley & Sons
  • Release : 04 March 2005
GET THIS BOOKAnalyzing Environmental Data

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students

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  • Publisher : American Mathematical Soc.
  • Release : 22 January 2021
GET THIS BOOKComplex Graphs and Networks

Through examples of large complex graphs in realistic networks, research in graph theory has been forging ahead into exciting new directions. Graph theory has emerged as a primary tool for detecting numerous hidden structures in various information networks, including Internet graphs, social networks, biological networks, or, more generally, any graph representing relations in massive data sets. How will we explain from first principles the universal and ubiquitous coherence in the structure of these realistic but complex networks? In order to

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  • Publisher : CRC Press
  • Release : 11 November 2015
GET THIS BOOKSpatial Point Patterns

Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions. Practical Advice on Data Analysis

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  • Release : 21 April 2009
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  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOKStatistical Ecology

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  • Release : 03 September 2019
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  • Publisher : Baen Publishing Enterprises
  • Release : 01 March 2010
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  • Release : 22 January 2021
GET THIS BOOKFate, Time, and Language

Presents David Foster Wallace critiques philosopher Richard Taylor's work implying that humans have no control over the future and includes essays linking Wallace's critique with his later works of fiction.