41 research outputs found

    Statistical performances of the best predictive multivariate landscape- and meteorology-based cumulative link mixed models of <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., the September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.

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    <p>Statistical performances of the best predictive multivariate landscape- and meteorology-based cumulative link mixed models of <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., the September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.</p

    Landscape-based model map of predicted <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., the September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.

    No full text
    <p>Landscape-based model map of predicted <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., the September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.</p

    Landscape and meteorological variables selected for multivariate CLMMs of <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.

    No full text
    <p>Landscape and meteorological variables selected for multivariate CLMMs of <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.</p

    Parameters of the predictive spatial-temporal cumulative link mixed model of <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., the September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.

    No full text
    <p>Parameters of the predictive spatial-temporal cumulative link mixed model of <i>An</i>. <i>darlingi</i> densities during the malaria transmission period (i.e., the September–November dry season) in Saint-Georges de l’Oyapock, French Guiana.</p

    Dataset

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    Raw data including location of the plots (longitude, latitude and type of forest), forest structural features (stem density, basal area and canopy height) climatic variables (potential evapotranspiration, mean annual precipitation, mean annual temperature), human footprint index and cyclone regime variables (cyclone frequency and power dissipation index)
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