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    Landscape fragmentation as an indicator of coastal landscape quality: an application along the Apulian coast (southern Italy),45. MININNI M., MINUNNO F., LERONNI V., TARANTINO C. MAIROTA P..(2007), Landscape fragmentation as an indicator of coastal landscape quality: an application along the Apulian coast (southern Italy),

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    This work has being carried out within the framework of the IMCA (Integrated Monitoring of Coastal Areas) Research Project, among the activities aimed at drawing coastal landscape quality maps through the use of indicators derived from satellite RS images. The overall research project, moving from the experience of the European Landscape Convention, tackles the landscape quality issue via a multi temporal and spatial scale approach. The present contribution focuses on fragmentation as this phenomenon, as well as the loss of heterogeneity, initiated by urban settlement processes of dislocation and diffusion, represents the main cause of the landscape ecological efficiency decrease, of the area decay and of the beginning of diseconomy in its management (Forman, 1995). In order to quantify fragmentation, at a given spatial scale (defined in terms of both grain and extent), a set of LPI (ED, LSI, ENN_AM, PLADJ, MESH, SHDI) was computed at the landscape level on a sample plot population, extracted via an unaligned random samplingprocedure from the whole southernmost part of the Apulian peninsula (Southern Italy) and for which intepretation of recent aerial photographs had already been performed within the framework of the IMCA research project (Miacola et al. 2006). The same protocol was applied to categorical maps of the same area, derived, both by past aerial photointerpretation and by (unsupervided and supervised) segmentation, from medium (Landsat TM) resolution satellite images of two time steps. Preliminary results are encouraging in many respects. The distribution analysis performed on the indexes computed on the different data sets show, for this particular landscape at the given scale, a significant trend towards a normal distribution model, thus contributing to the ongoing debate (Remmel and Csillag 2003) on the uncertainties about the possibility to statistically compare indexes computed in different times and places, deriving by the lack of knowledge about their distribution. Principal component analysis performend on the indexes obtained from the different data sets, yields the ordination of sample plots along a fragmentation gradient, that migth be used to construct framentation intensity maps at the subregional scale, as well as to interpreting the change processes and obtain intelligent maps based upon the integration of field (aerial-photo interpetation) and and RS data, thus achieving the twofold purpouse of performing a phenomenological study aimed both at tmodelling coastal landscape transformations and identifying new survey categories that may have the temporal dimension as a reading parameter (e.g.. speed of change). As far as the relations between the indexes computed on the different data sets are concerned, they allow for the assessment of the potentials for using unsupervised categorical maps for the description and monitoring of landscapes fragmentation, as well as for testing hypoteses concerning fragmentation scaling relations in both space and time (Wu, 2004; Jelinski and Wu 1996

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Variations on the Author

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    “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

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    We 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

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    We 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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