Titlebook: Vegetation Survey and Classification of Subtropical Forests of Southern Africa; Ladislav Mucina Book 2018 Springer International Publishin

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Classifying Subtropical Forests of South Africa: Data Sources and Methods,(and their groupings). The protocol uses spatial data on the distribution of forests as basis for the selection of targeted sampling sites, the methodology of the field vegetation (and environment) sampling, the procedures aimed at numerical data analysis, and the tools of the formal description of vegetation types in forests.

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Lessons for a Forest Vegetation Survey,nditions. It addresses the issues of the logistics of field sampling, detail of the field surveys, handling legacy (historical) data, pitfalls of numerical data-analyses, problems of modelling the distribution of vegetation types, vagaries of interpretations of the revealed vegetation patterns, and presentation of the outcomes.

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978-3-319-88494-3Springer International Publishing AG 2018

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Vegetation Survey and Classification of Subtropical Forests of Southern Africa978-3-319-67831-3Series ISSN 2198-2562 Series E-ISSN 2198-2570

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Ladislav MucinaPresents a scientifically sound monograph of the featured segment forests for people interested in nature conservation, environmental consulting, forest management, and national policy-makers.Formulat

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ty in general. This loss can be modeled by a function. In Six Sigma, this function is based on the variability of the process. In this chapter, we will analyze the quality loss function introduced by Taguchi and explain how to use it to calculate the average loss of a process.

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