1,720,954 research outputs found
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
NDVI Based assessment of land cover changes using remote sensing and GIS-(A case study of Srinagar district, Kashmir)
Get PDFNormalized Difference Vegetation Index (NDVI) is an index of greenness or photosynthetic activity in a plant. It is a technique of obtaining various features based upon their spectral signatures such as vegetation index, land cover classification, urban areas and remaining areas presented in the image. In the present study, the NDVI differencing method using Landsat 7 ETM+ images and Landsat OLI were implemented to assess the change in vegetation cover from 2001 to 2017 using the Natural Breaks (Jenks) method. NDVI values calculated from the satellite image of the year 2001 range from 0.62 to -0.41and that of the year 2017 ranges from 0.53 to -0.10based upon their spectral signature. The NDVI method is applied according to its characteristics like vegetation at different NDVI threshold values such as -0.1, -0.09, 0.14, 0.06, 0.28, 0.35, and 0.5. Afterwards, a Difference NDVI map between 2001 and 2017 is generated to identify negatively or positively values of land cover changes. Results confirmed that the area without vegetation, such as water bodies, built-up areas and as well as barren lands, increased from 35 % in 2001 to 39.67 % in 2017. The densely vegetated area decreased from 8.62 % to 2.15 % indicating the need to develop new policies in the city to protect vegetation areas during economic and urban development in the city of Srinagar.El Índice de Vegetación de Diferencia Normalizada (NDVI) es un índice de actividad verde o fotosintética en una planta. Es una técnica para obtener varias características en función de sus firmas espectrales, como el índice de vegetación, la clasificación de la cobertura del suelo, las áreas urbanas y las áreas restantes que se presentan en la imagen. En el presente estudio, se implementó el método de diferenciación NDVI utilizando imágenes de mapeo temático Landsat y Landsat OLI para evaluar el cambio en la cubierta vegetal de 2001 a 2017 utilizando el método Natural Breaks (Jenks). Valores NDVI calculados a partir de la imagen de satélite de los rangos del año 2001 de 0.62 a -0.41 y el del año 2017 varía de 0.53 a -0.10 en función de su firma espectral. El método NDVI se aplica de acuerdo con sus características como la vegetación en diferentes valores umbral de NDVI, como -0.1, -0.09, 0.14, 0.06, 0.28, 0.35 y 0.5 Luego, se genera un mapa de NDVI de diferencia entre 2001 y 2017 para negativa o positivamente Identificar los valores de los cambios en la cobertura del suelo. Los resultados confirmaron que el área sin vegetación, como cuerpos de agua, así como áreas urbanizadas y tierras áridas, aumentó de 35% en 2001 a 39.67% en 2017. El área densamente vegetada disminuyó de 8.62% a 2.15% indicando la necesidad desarrollar nuevas políticas en la ciudad para proteger las áreas de vegetación durante el desarrollo económico y urbano en la ciudad de Srinagar
Variations 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
NDVI Based Assessment of Land Cover Changes Using Remote Sensing and GIS (A case study of Srinagar district, Kashmir)
Get PDFNormalized Difference Vegetation Index (NDVI) is an index of greenness or photosynthetic activity in a plant. It is a technique of obtaining various features based upon their spectral signature such as vegetation index, land cover classification, urban areas and remaining areas presented in the image. The NDVI differencing method using Landsat thematic mapping images and Landsat oli was implemented to assess the chane in vegetation cover from 2001to 2017. In the present study, Landsat TM images of 2001 and landsat 8 of 2017 were used to extract NDVI values. The NDVI values calculated from the satellite image of the year 2001 ranges from 0.62 to -0.41 and that of the year 2017 shows a significant change across the whole region and its value ranges from 0.53 to -0.10 based upon their spectral signature .This technique is also used for the mapping of changes in land use and land cover. NDVI method is applied according to its characteristic like vegetation at different NDVI threshold values such as -0.1, -0.09, 0.14, 0.06, 0.28, 0.35, and 0.5. The NDVI values were initially computed using the Natural Breaks (Jenks) method to classify NDVI map. Results confirmed that the area without vegetation, such as water bodies, as well as built up areas and barren lands, increased from 35 % in 2001 to 39.67 % in 2017.Key words: Normalized Difference Vegetation Index,land use/landcover, spectral signature
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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