000 02938cam a2200277zu 4500
001 88914828
003 FRCYB88914828
005 20250107234459.0
006 m o d
007 cr un
008 250108s2019 fr | o|||||0|0|||eng d
020 _a9780128109878
035 _aFRCYB88914828
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aTaylor, R. A. J.
245 0 1 _aTaylor's Power Law
_bOrder and Pattern in Nature
_c['Taylor, R. A. J.']
264 1 _bElsevier Science
_c2019
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aTaylor, R. A. J.
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88914828
_qtext/html
_a
520 _aTaylor'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 lawReports the empirical, analytical, and theoretical work without opinion and ends with a critique of the work in order to develop a synthesisCollects 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
999 _c74167
_d74167