Trajectory analysis of vegetation dynamics

2010.07.16

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I would like to draw to friends attention our new, 397 page “Statistical Ecology" - the quantitative study of Nature to reveal the unexpected, prepared with the assistance of M. Mihaly DFE. The book is now listed on eBay under item number 140426343983. For table of contents, please click link "Stat's table of contents" on this page.

The book's topics traverse many problem areas in univariate and multivariate data analysis. It assumes advanced training in community and population ecology, and familiarity with first year college algebra. The topics are developed from the very basic to the more complex in a continuum, assuming no previous

training in statistics The manner of presentation emphasizes reasoned methodological choices and encourages innovations consistent with the objectives, but mindful of the need to see clearly the regularity conditions which set limits for valid application of statistics in ecology. The main text comes packaged with external appendices including a technical manual, over 40 specialized application programs, and many data files taken from the exercises in the main text. The programs are conversational, designed to challenge the user by requiring reasoned choices at different points as the analysis unfolds. The programs will run on 32 bit Windows (XT and up), but have to be placed high up in the directory. For further information please contact L. Orlóci (lorloci@uwo.ca).

The featured paper (Process governance) is a current essay in pdf format. Appendices are an integral part of this paper. The transcript of the trajectory lecture is self-contained and offered for use in graduate level statistical ecology courses. Pressing Link to trajectory papers downloads a list of recent publications and their URLs. Pressing the Koa link brings up a list of files, of which many can be downloaded. The Blog link connects to a collection of title pages of essays published in different places at different times. Some of the essays address vegetation dynamics directly within the framework of the novel methodology of trajectory analysis. Others deal with aspects of the technical and conceptual tools. A limited number of reprints are available from L. Orlóci (lorloci@uwo.ca).