000			02022nam a22002897a 4500
001			sulb-eb0015215
003			BD-SySUS
005			20160405134117.0
008			121122s2014||||enk o ||1 0|eng|d
020			_a9781139627061 (ebook)
020			_z9781107694408 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aQH541.15.S72 _bS63 2014
082	0	0	_a577.01/5195 _223
100	1		_aŠmilauer, Petr, _eauthor.
245	1	0	_aMultivariate Analysis of Ecological Data using CANOCO 5 / _cPetr Šmilauer, Jan Lepš.
250			_a2nd ed.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (373 pages) : _bdigital, PDF file(s).
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
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	_aMultivariate analysis
700	1		_aLepš, Jan, _eauthor.
776	0	8	_iPrint version: _z9781107694408
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9781139627061
942			_2Dewey Decimal Classification _ceBooks
999			_c37059 _d37059