Titlebook: Analyzing Ecological Data; Alain F. Zuur,Elena N. Ieno,Graham M. Smith Book 2007 The Editor(s) (if applicable) and The Author(s), under ex

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Data management and software,This chapter reviews some statistical programmes with which we have experience and reinforces some ideas of good data management practice.

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Exploration,The first step in analysing data is a graphical data exploration asking the following questions:

cliche

Generalised linear modelling,In the linear regression chapter, we analysed the RIKZ data and identified various problems:

津貼

Measures of association,In a multivariate dataset, more than one response variable can be analysed at the same time. In Chapter 4, we used Argentinean zoobenthic data where multiple species were measured at multiple sites with several explanatory variables measured at each sites. Possible underlying questions are as follows:

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https://doi.org/10.1007/978-0-387-45972-1Fauna; Vegetation; biology; classification; data analysis; ecology; linear regression; statistics

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Anwendung von Robotic Process Automation, in the field possibly best described as the ‘environmental sciences’. The required background for these courses, and therefore this book, is some level of ‘familiarity with basic statistics’. This is a very loose phrase, but you should feel reasonably comfortable with concepts such as normal distri

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Sukhpal Singh Gill,Rajkumar Buyyaesence of outliers, and assess the need for data transformations. We also discussed more complex methods (coplot, lattice graphs, seatterplot, pairplots, conditional box-plots, conditional histograms) that helped to see the relationships between a single response variable and more than one explanato