1,721,557 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
High-resolution Sentinel-2 derived forest class maps and aggregated upscaled forest class maps from the Copernicus Global Land Service in selected regions of Western Yakutia and Chukotka, in Eastern Siberia, Russia
No full textThis dataset comprises a collection of high-resolution Sentinel-2 derived forest class maps and aggregated upscaled forest class maps from the Copernicus Global Land Service (CGLC) 100 m representing forested land in selected regions of Western Yakutia and Chukotka, in Eastern Siberia, Russia. The dataset is organized into three product groups, each containing geospatial data in GeoTIFF format.
RegionalCode_classified-forest_S2_LS_10m products: These products are Sentinel-2 derived maps with a spatial resolution of 10 meters for the following locations: Lake Khamra (LK), Yakutsk (YA), Magaras (MA), Mirny (MI), Mirny-Lensk (ML), Nyurba (NY), Vilnius (VI), Suntar (SU), Suntar-West (SW) in Western Yakutia, and Bilibino (BI), in Chukotka. The preprocessed and optimized Sentinel-2 images used for the forest type classification are from our previous publication: van Geffen, Femke; Geng, Rongwei; Pflug, Bringfried; Kruse, Stefan; Pestryakova, Luidmila A; Herzschuh, Ulrike; Heim, Birgit (2021): SiDroForest: Sentinel-2 Level-2 Bottom of Atmosphere labelled image patches with seasonal information for Central Yakutia and Chukotka vegetation plots (Siberia, Russia) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.933268. The forest class maps classify the land into four classes: evergreen needleleaf forest (class value 1), summergreen needleleaf forest (class value 2), mixed forest (class value 3), and non-forested land (class value 0). The evergreen forest class includes tree taxa such as Pine and Spruce and the summergreen forest class represents two larch species (Larix cajanderi and Larix gmelinii) common to these regions. This classification is based on the Random Forest algorithm using late summer Sentinel-2 multispectral data as detailed in the study by van Geffen et al. (submitted).
RegionalCode_aggregated-forest_100mLandCover2019_10m: These products are aggregated and upsampled maps based on the 100 m Copernicus Global Land Service 100 m 2019 (reference) data, with the resolution refined from 100 meters to 10 meters. The land cover classes have been aggregated to match the classification scheme of the Sentinel-2 derived forest type maps: open and closed evergreen forests (111, 121), open and closed summergreen forests (113, 123), and open and closed mixed forests (115, 125) have been reclassified into three forest classes (1, 2, 3) and non-forested land (0). This adaptation facilitates direct comparison between the Sentinel-2 forest type maps and the upsampled global land cover data, enabling more precise spatial analysis.
RegionalCode_unknown-forest_100mLandCover2019_10m: These products are the upsampled 10-meter resolution maps for two unknown forest classes (116 and 126) identified in the Copernicus Global Land Service 100 m 2019 (reference) dataset. These classes remain distinct from the aggregated classes allowing for further study and comparison.
This dataset is intended to support research in forest classification, land cover analysis, and ecological studies in Siberia, providing a valuable resource for understanding the complex vegetation dynamics in these remote regions. The use of both high-resolution Sentinel-2 data at a 10 m resolution and aggregated global land cover data sampled to 10 m resolution enables a comprehensive assessment of forest types across varying spatial resolutions and classifications
Variations on the Author
Full text link“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
Full text linkWe 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
Hyperspectral field spectrometry of Arctic vegetation units in the central Lena Delta
No full textHyperspectral field measurements were acquired in the central Lena Delta in August 2018. The aim was to conduct spectral surface reflectance surveys of various homogeneous vegetation areas on different permafrost landforms to establish a representative spectral reflectance database. In total, we took 28 hyperspectral field measurements of 30 m x 30 m homogeneous vegetation plots across Samoylov and Kurungnakh-Island. Four plots were measured twice with a two-week delay, therefore depicting the changes on reflectance signature.
We conducted the field-spectrometry measurements with the Spectral Evolution SR-2500 with a 1.5 m Fiber Optic Cable. The instrument is calibrated to a spectral radiance range of 350 to 2.500 nm. Further technical details are provided in a separate document. We identified homogeneous vegetation plots with a size of 30 m x 30 m and acquired about 100 individual spectrometry measurements, randomly scattered across the plot. At the start and at the end of each survey the system was referenced by measuring the back reflected radiance from a Zenith Lite^TM Diffuse Reflectance Target of 50% reflectivity. Hyperspectral field measurements with the plot name SAM18 were taken on Samoylov and those with KUR18 on Kurungnakh-Island. All data was collected by scientists from the Alfred Wegener Institute (AWI) Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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