000 06070nam a22005055i 4500
001 978-0-387-45972-1
003 DE-He213
005 20161121230747.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9780387459721
_9978-0-387-45972-1
024 7 _a10.1007/978-0-387-45972-1
_2doi
050 4 _aQH540-549.5
072 7 _aPSAF
_2bicssc
072 7 _aSCI020000
_2bisacsh
082 0 4 _a577
_223
100 1 _aZuur, Alain F.
_eauthor.
245 1 0 _aAnalysing Ecological Data
_h[electronic resource] /
_cby Alain F. Zuur, Elena N. Ieno, Graham M. Smith.
264 1 _aNew York, NY :
_bSpringer New York,
_c2007.
300 _aXXVI, 672 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics for Biology and Health,
_x1431-8776
505 0 _aData management and software -- Advice for teachers -- Exploration -- Linear regression -- Generalised linear modelling -- Additive and generalised additive modelling -- to mixed modelling -- Univariate tree models -- Measures of association -- Ordination — First encounter -- Principal component analysis and redundancy analysis -- Correspondence analysis and canonical correspondence analysis -- to discriminant analysis -- Principal coordinate analysis and non-metric multidimensional scaling -- Time series analysis — Introduction -- Common trends and sudden changes -- Analysis and modelling of lattice data -- Spatially continuous data analysis and modelling -- Univariate methods to analyse abundance of decapod larvae -- Analysing presence and absence data for flatfish distribution in the Tagus estuary, Portugal -- Crop pollination by honeybees in Argentina using additive mixed modelling -- Investigating the effects of rice farming on aquatic birds with mixed modelling -- Classification trees and radar detection of birds for North Sea wind farms -- Fish stock identification through neural network analysis of parasite fauna -- Monitoring for change: Using generalised least squares, non-metric multidimensional scaling, and the Mantel test on western Montana grasslands -- Univariate and multivariate analysis applied on a Dutch sandy beach community -- Multivariate analyses of South-American zoobenthic species — spoilt for choice -- Principal component analysis applied to harbour porpoise fatty acid data -- Multivariate analyses of morphometric turtle data — size and shape -- Redundancy analysis and additive modelling applied on savanna tree data -- Canonical correspondence analysis of lowland pasture vegetation in the humid tropics of Mexico -- Estimating common trends in Portuguese fisheries landings -- Common trends in demersal communities on the Newfoundland-Labrador Shelf -- Sea level change and salt marshes in the Wadden Sea: A time series analysis -- Time series analysis of Hawaiian waterbirds -- Spatial modelling of forest community features in the Volzhsko-Kamsky reserve.
520 _aThis book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modelling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. The case studies include topics ranging from terrestrial ecology to marine biology. The case studies can be used as a template for your own data analysis; just try to find a case study that matches your own ecological questions and data structure, and use this as starting point for you own analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in Chapter 2. Alain Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has contributed to a wide range of projects related to marine biology, oceanography, ecology, fisheries, etc. and has extensive experience teaching statistics to ecologists and environmental scientists in the form of academic and non-academic courses. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Elena Ieno is senior marine biologist at Highland Statistics Ltd. In 2004 she left academia to work full time in statistical consultancy. She now teaches statistics to ecologists and has shown she can bridge the gap between the two disciplines and dispel the dread of statistics shown by most biologists. She is also involved in various international statistical consultancy projects, and is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Graham M. Smith is a Senior Lecturer at Bath Spa University in the UK where he teaches statistics to biology undergraduates. He has a background in ecological consultancy, and continues to provide consultancy on the design and analysis of ecological monitoring programmes and the development of quantitative methods in Ecological Impact Assessment.
650 0 _aLife sciences.
650 0 _aEcology.
650 0 _aApplied ecology.
650 0 _aStatistics.
650 1 4 _aLife Sciences.
650 2 4 _aEcology.
650 2 4 _aApplied Ecology.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
700 1 _aIeno, Elena N.
_eauthor.
700 1 _aSmith, Graham M.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387459677
830 0 _aStatistics for Biology and Health,
_x1431-8776
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-45972-1
912 _aZDB-2-SBL
950 _aBiomedical and Life Sciences (Springer-11642)
999 _c503587
_d503587