Resultados de búsqueda - "Graphic methods"

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  1. Runoff Estimation and Water Demand Analysis for Holetta River, Awash Subbasin, Ethiopia Using SWAT and CropWat Models por Tibebe, M., Melesse, A.M., Zemadim, Birhanu

    Publicado 2016
    “…Statistical [coefficient of determination (R 2), Nash–Sutcliffe efficiency coefficient (NSE), and index of volumetric fit (IVF)] and graphical methods were used to evaluate the performance of the model. …”
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    Capítulo de libro
  2. Runoff estimation and water management for the Holetta river in Ethiopia por Tibebe, M., Zemadim, Birhanu, Haile, D., Melesse, A.

    Publicado 2013
    “…Statistical (coefficient of determination [R2], Nash- Sutcliffe Efficiency Coefficient [NSE] and Index of Volumetric Fit [IVF]) and graphical methods used to evaluate the performance of SWAT model. …”
    Enlace del recurso
    Capítulo de libro
  3. Graphical approaches to support the analysis of linear-multilevel models of lamb pre-weaning growth in Kolda (Senegal) por Lancelot, R., Lesnoff, Matthieu, Tillard, E., McDermott, John J.

    Publicado 2000
    “…This study highlighted the usefulness of graphical methods in their analysis through: (1) the choice of the fixed and random effects and their structure, (2) the assessment of goodness-of-fit and (3) distributional assumptions for random effects and residuals. …”
    Enlace del recurso
    Journal Article
  4. AlleleShift: An R package to predict and visualize population-level changes in allele frequencies in response to climate change por Kindt, R.

    Publicado 2021
    “…As these were generated through the ggplot2 package, methods of generating animations for a climate change time series are straightforward, as shown in the documentation of AlleleShift and in the supplementary materials. In addition, graphical methods are provided of showing shifts of populations in environmental space (population.shift) and to assess how well the predicted frequencies reflect the original frequencies for the baseline climate (freq.ggplot). …”
    Enlace del recurso
    Preprint

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