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Additional info for Data Analysis in Vegetation Ecology

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G. 3). 1: Nominal data are recorded according to a list of possible states. 1 and labelled by letters. These are (a) Quercus petraea, (b) Q. pubescens, (c) Q. robur and (d) Q. cerris. Data of this type are restricted in the application of mathematical operations. Leaf types are either the same or different, thus the operations to be applied are = and =. Ordinal data are measurements on a rank scale. 1 flower at different times of the year. In a warm winter, flowering of Corylus avellana may start in December of the preceding year.

From the point of view of modern data analysis this scale (the so-called cover-abundance scale) is a mixture of form and content. At lower species densities, it expresses the abundance of individuals. At high densities, it directly translates to plant cover percentage. 3 a minus sign), followed by ‘+’. Then it continues with a rank scale from 1 to 5. In the past hundred years, huge data sets have been collected all over the globe using this scale (Dengler et al. 2008). Handling such data is therefore an issue in data analysis.

7. 1 Terms used in sampling design (International Statistical Institute 2009) English, French, German, Spanish. l. 7 The elements of sampling design. In this example, a systematic sampling design is used to assess the state of a peat bog. for example a sample in some textbooks is the same as a sampling unit in others. 1 intend to foster communication in some languages (International Statistical Institute 2009). The first step in sampling is the delineation of the population, which is the object to be investigated; that is, the full investigation area (not to be confounded with the population in the biological sense).

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