000 02552nam a22004098i 4500
001 CR9781139627061
005 20250919142054.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 121122s2014||||enk o ||1 0|eng|d
020 _a9781139627061 (ebook)
020 _z9781107694408 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQH541.15.S72
_bS63 2014
082 0 0 _a577.01/5195
_223
100 1 _aŠmilauer, Petr,
_d1967-
_eauthor.
245 1 0 _aMultivariate analysis of ecological data using Canoco 5 /
_cPetr Šmilauer, University of South Bohemia, Czech Republic, Jan Lepš, University of South Bohemia, Czech Republic.
250 _aSecond edition.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (xii, 362 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aThis revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation.
650 0 _aEcology
_xStatistical methods.
650 0 _aMultivariate analysis.
650 0 _aEcology
_xStatistical methods
_vCase studies.
650 0 _aMultivariate analysis
_vCase studies.
700 1 _aLepš, Jan,
_d1953-
_eauthor.
776 0 8 _iPrint version:
_z9781107694408
856 4 0 _uhttps://doi.org/10.1017/CBO9781139627061
907 _a.b16848676
_b2020-12-22
_c2020-12-22
942 _n0
998 _a1
_b2020-12-22
_cm
_da
_feng
_genk
_y0
_z.b16848676
999 _c652210
_d652210