Search Results - software metric

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  1. FDiversity: a software package for the integrated analysis of functional diversity by Casanoves, Fernando, Di Rienzo, Julio A., Pla, Laura

    Published 2021
    “…We present FDiversity, a free, user‐friendly, open source‐based software package for the calculation and integrated statistical analysis of most functional diversity indices and metrics published to date. 3. …”
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    Artículo
  2. Incorporating scale dependence in disease burden estimates: The case of human African trypanosomiasis in Uganda by Hackett, F., Berrang-Ford, Lea, Fèvre, Eric M., Simarro, P.P.

    Published 2014
    “…Background The WHO has established the disability-adjusted life year (DALY) as a metric for measuring the burden of human disease and injury globally. …”
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    Journal Article
  3. Smallholder-based fruit seedling supply system for sustainable fruit production in Ethiopia: lessons from the IPMS experience by Berhe, Kahsay, Dessalegn, Yigsaw, Baredo, Y., Teka, W., Hoekstra, Dirk, Tegegne, Azage

    Published 2009
    “…According to the Ministry of Agriculture and Rural Development (MoARD), the area under fruits is about 43,500 ha with a total annual production of about 261,000 metric tonnes of which less than 2% is exported. Many supply and demand reasons are associated with the poor performance of the sub-sector including technical, organisational and institutional factors. …”
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    Conference Paper
  4. Knowing the lay of the land: Changes to land use and cover and landscape pattern in village tank cascade systems of Sri Lanka by Ratnayake, Sujith S., Reid, Michael, Larder, Nicolette, Hunter, Danny, Ranagalage, Manjula, Kogo, Benjamin, Dharmasena, Punchi B., Kariyawasam, Champika S.

    Published 2024
    “…Landscape patterns were analysed based on eight spatial metrics calculated at both the landscape and class levels using FRAGSTATS spatial pattern analysis software. …”
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    Journal Article
  5. Assessment of climate change in the North-East Region of Côte d'Ivoire: future precipitation, temperature, and meteorological drought using CMIP6 models by Kouman, K. D., Akpoti, Komlavi, Kouadio, B. H., Kabo-bah, A. T., Dembélé, Moctar, Siabi, E. K., Mensah, J. K.

    Published 2024
    “…We integrate data from 12 stations within the Zanzan region, applying CMhyd software to correct model biases. Key statistical metrics confirm the well-calibrated nature of the corrected GCMs vis-a-vis observed data. …”
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    Journal Article
  6. Site-specific fertilizer recommendation using data driven machine learning enhanced wheat productivity and resource use efficiency by Liben, Feyera, Abera, Wuletawu, Chernet, Meklit Tariku, Ebrahim, Mohammed, Tilaye, Amsalu, Erkossa, Teklu, Degefie, Tibebe Degefie, Mponela, Powell, Kihara, Job, Tamene, Lulseged D.

    Published 2024
    “…Data on farm management history, yields, and prices for fertilizer and grain were gathered using Open Data Kit (ODK) tools. Key performance metrics, including site-specific yield gains or losses, profitability, and resource use efficiencies were computed for each site. …”
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    Journal Article
  7. Key influencers in Burkina Faso's poultry management: Insights from systems mapping and network analysis by Boz, Z., Dione, Michel M., Alders, R., Kagambèga, A., Knight-Jones, Theodore J.D., Ilboudo, Guy S., Ouedraogo, Brice, Ima-Ouoba, S., Ganser, S.

    Published 2024
    “…This model includes variables such as hygiene practices, livestock profitability, educational attainment, and access to services. Network analysis metrics degree centrality, betweenness centrality, and closeness centrality were calculated using Kumu software to identify key nodes. …”
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    Ponencia
  8. Landsat images and GIS techniques as key tools for historical analysis of landscape change and fragmentation by Gómez Fernández, Darwin, Salas López, Rolando, Zabaleta Santisteban, Jhon Antony, Medina Medina, Angel J., Goñas Goñas, Malluri, Silva López, Jhonsy O., Oliva Cruz, Manuel, Rojas Briceño, Nilton B.

    Published 2024
    “…We utilized accurate land cover and land use (LULC) maps derived from Landsat imagery using Google Earth Engine (GEE) and ArcGIS software. For this, we identified the best dataset based on its highest overall accuracy, and kappa index; then we performed an analysis of variance (ANOVA) to assess the differences in accuracies among the datasets, finally, we obtained the LULC and fragmentation maps and analyzed them. …”
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    Artículo

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