1,720,963 research outputs found
Data for: Tree-planting programs in Himachal Pradesh India 2019
No full textData are derived from publicly released data produced by the forest department of the Government of Himachal Pradesh, India. Dataset-A comprising of 16,674 forest polygon is the result of a 4 year effort on the part of the Himachal Pradesh forest department, and covers 33 forest divisions of Himachal Pradesh. We could not use 1998 polygons in this dataset due to missing data. The digitization of polygons for the rest of the 10 forest divisions in the state of Himachal Pradesh is in process. The data has 31 predictor variables used in training a predictive model to estimate tree cover loss probabilities in these compartments based on ensemble-modeling. Outcome variable included in the dataset is tree cover loss/mortality (dummy; mortality =1, No mortality =0). Predictor variables include variables related to forest dependence, soil and biophysical characteristic, canopy cover and other management practices. For details about prediction algorithm model construction and model predictors, please refer to the readme section.
Dataset-B comprises of 2147 forest polygons where plantations happened from 1 st Jan 2016 to 31 st July, 2019. Total 2809 tree plantations were carried out during this period. But, due to missing data, we could only use 2147 for construction of data. Finally, for our paper (under review), we used 2024 tree
plantations for which we had budgetary data available. The dataset also has same predictor variables as in dataset-A. We used our selected ensemble model to predict tree cover loss probabilities for 2024 tree plantations and then compared budgetary allocations against these probabilities for our analysis.This dataset provides information on the tree plantation programs of the government of the state of Himachal Pradesh, India. Data were released publicly by the government in response to questions posed by Members of the State Legislative Assembly in 2019. We combined this data with other publicly available datasets to provide a more complete picture of plantation programs for the purpose of evaluating their effectiveness.“Impacts of Afforestation on the Provision of Ecosystem Services to Rural Communities in India (ROSES 15).” National Aeronautics and Space Administration (NASA) Award #NNX17AK14G.Rana, Pushpendra; Fleischman, Forrest; Ramprasad, Vijay; Lee, Kangjae. (2020). Data for: Tree-planting programs in Himachal Pradesh India 2019. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/8x0d-gb23
Historical tree planting data from Himachal Pradesh
No full textThis dataset records information about tree planting activities in the Indian state of Himachal Pradesh from 1979-2015. Data were obtained from "Annual Plantation Brochures" Published by the Himachal Pradesh Forest Department. The brochure for 1983 could not be located, thus the year 1983 is missing. Contains detailed information about species and government programs that are responsible for planting each tree. Two data files are included, a statewide dataset and a dataset focusing only on Kangra Circle“Impacts of Afforestation on the Provision of Ecosystem Services to Rural Communities in India (ROSES 15).” National Aeronautics and Space Administration (NASA) Award #NNX17AK14G.Fleischman, Forrest; Ramprasad, Vijay; Rana, Pushpendra; Rana, Rajesh; Guleria, Vijay; Fischer, Harry S. (2020). Historical tree planting data from Himachal Pradesh. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/jcgj-5077
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
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
Limited effects of tree planting on forest canopy cover and rural livelihoods in Northern India
No full textMany countries have adopted large-scale tree-planting programs as a climate mitigation strategy and to support local livelihoods. We evaluate a series of large-scale tree planting programs using data collected from historical Landsat imagery in the state of Himachal Pradesh in Northern India. Using this panel dataset, we use an event study design to estimate the socioeconomic and biophysical impacts over decades of these programs. We find that tree plantings have not, on average, increased the proportion of forest canopy cover, and have modestly shifted forest composition away from the broadleaf varieties valued by local people. Further cross-sectional analysis, from a household livelihood survey, shows that tree planting supports little direct use by local people. We conclude that decades of expensive tree planting programs in this region have not proved effective. This result shows that large-scale tree planting may sometimes fail to achieve its climate mitigation and livelihood goals.Research funded by NASA Land Cover and Land Use Change (LULUC): NNX17AK14GColeman, Eric A.; Schultz, Bill; Ramprasad, Vijay; Fischer, Harry; Rana, Pushpendra; Filippi, Anthony M.; Güneralp, Burak; Ma, Andong; Rodriguez Solorzano, Claudia; Guleria, Vijay; Rana, Rajesh; Fleischman, Forrest. (2021). Limited effects of tree planting on forest canopy cover and rural livelihoods in Northern India. Retrieved from the University Digital Conservancy, 10.1038/s41893-021-00761-z
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
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