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Fig. 2 in Good Reasons and Guidance for Mapping Planktonic Protist Distributions
No full textFig. 2. Geostatistical analysis of Lohmaniella oviformis (inset in a) abundance (cells ml–1) produces: a) the variogram, b) the kriging map, and c) a map of the coefficient of variation (CV). A spherical model (a, line) is fit to the empirical variogram (a, points); the points account for different number of pairs of abundance averaged on a class distance (lag). Only half of the maximum distance was calculated and represented to avoid the edge effect, where there are fewer sampling points (see text). The model (a, line) is used to predict abundance at unsampled points and to assess characteristics of patches. The model is also used to map patches of L. oviformis abundance (b, grey areas) using the kriging interpolator; a patch is operationally defined as abundance in the upper quartile. On the CV map (c), grey areas (with lower abundance and closer to edges) have the highest coefficient of variation of the estimated distribution.Published as part of Bulit, Celia, 2014, Good Reasons and Guidance for Mapping Planktonic Protist Distributions, pp. 13-27 in Acta Protozoologica 53 (1) on page 19, DOI: 10.4467/16890027AP.14.003.1440, http://zenodo.org/record/837756
A geostatistical analysis of ciliate patches : their identification, structural characteristics, and spatial and temporal dynamics using a tropical coastal lagoon as a natural laboratory
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Good Reasons and Guidance for Mapping Planktonic Protist Distributions
Get PDFAnalysing the spatio-temporal distribution of protistan microplankton has faced both conceptual and technical difficulties. However, recognition of a need to study planktonic patchiness, application of a major geology-based methodology (geostatistics) to ecology, and advances in computational technologies have widened the interest in this topic and made it more assessable. This review provides methodological and conceptual guidance on the application of geostatistics to microplankton analysis, using ciliates as example model organisms. Applying geostatistical analysis (and complementary methodologies) to the distribution of ciliate and phytoplankton reveals that attributes of their populations and assemblages (e.g. abundance, biomass, production, diversity) are patchily distributed at multiple spatial-scales in different aquatic environments, and these change over time. Data examined from several environments and scales exhibit distinct patterns of patches regarding their shape, density, and structure; these data can then be used to suggest a behavioural niche-separation of ciliates and the influence of patchiness on the rate processes of food webs. Throughout the review, basic guidance is provided for interpreting where, when, and why planktonic ciliate are so distributed, and directions for work on patchiness is offered, including a guide to the main literature on the topic. This should, therefore, be a useful stepping-stone for researchers interested in the impact of patchiness on protistan ecology, regardless of the environment
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A geostatistical analysis of ciliate patches: their identification, structural characteristics, and spatial and temporal dynamics, using a tropical coastal lagoon as a natural laboratory
Get PDFVariations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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