By Alain F. Zuur, Elena N. Ieno, Graham M. Smith
This booklet presents a realistic advent to analysing ecological facts utilizing genuine info units amassed as a part of postgraduate ecological reports or study projects.
The first a part of the booklet supplies a mostly non-mathematical creation to facts exploration, univariate tools (including GAM and combined modelling techniques), multivariate research, time sequence research (e.g. universal traits) and spatial information. the second one half offers 17 case reviews, quite often written including biologists who attended classes given by way of the 1st authors. The case reviews contain subject matters starting from terrestrial ecology to marine biology. The case stories can be utilized as a template to your personal information research; simply try and discover a case research that fits your individual ecological questions and knowledge constitution, and use this as place to begin for you personal research. info from all case reviews can be found from www.highstat.com. suggestions on software program is equipped in bankruptcy 2.
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Additional resources for Analysing Ecological Data (Statistics for Biology and Health)
It is a low-cost, user-friendly programme with a graphical user interface (GUI). It allows users to apply data exploration tools, univariate, multivariate, time series and spatial methods with a few mouse clicks. org). This gives users a GUI alternative to the R command line interface, and with three exceptions allows all the techniques used in the book to be run from a single programme. The exceptions are (i) the geometric morphometries analysis of the landmark turtle data in Chapter 30, (ii) neural networks in Chapter 25, and (iii) kriging in Chapters 19 and 37.
5 contains a list of all statistical methods discussed in this book and shows which programmes can be used for each method. , SAS), but we are not familiar with them. The time series method, dynamic factor analysis (DFA) as in Zuur et al. (2003a) is, to the best of our knowledge, only available in Brodgar. 5. Comparison of some statistical programmes. , SAS), but they were not taken into account as the authors have not worked with them. The symbol 'X' is used to express that a method can easily be applied in the software package.
Org). This gives users a GUI alternative to the R command line interface, and with three exceptions allows all the techniques used in the book to be run from a single programme. The exceptions are (i) the geometric morphometries analysis of the landmark turtle data in Chapter 30, (ii) neural networks in Chapter 25, and (iii) kriging in Chapters 19 and 37. In these cases, we used specialised R routines. SPLUSandR Another programme we use extensively is SPLUS (http://www, insightful, com). SPLUS is a commercial implementation of the S language, which provides a userfriendly menu-driven interface.
Analysing Ecological Data (Statistics for Biology and Health) by Alain F. Zuur, Elena N. Ieno, Graham M. Smith