R Code: "Incorporating time into the traditional correlational distributional modeling framework: a proof-of-concept using the Wood Thrush (Hylocichla mustelina)" by Kate Ingenloff (6718340)

“…</b> Incorporating time into the traditional correlational distributional modeling framework: a proof-of-concept using the Wood Thrush (<i>Hylocichla mustelina</i>). …”

Supporting Information: "Incorporating time into the traditional correlational distributional modeling framework: a proof-of-concept using the Wood Thrush (Hylocichla mustelina)" by Kate Ingenloff (6718340)

“…</b> Incorporating time into the traditional correlational distributional modeling framework: a proof-of-concept using the Wood Thrush (<i>Hylocichla mustelina</i>). …”

Selection of pseudoabsence points included in <i>Mycobacterium ulcerans</i> suitability models. by Hope Simpson (2940060)

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Individual model performance evaluation statistics for models of environmental suitability for <i>Mycobacterium ulcerans</i>. by Hope Simpson (2940060)

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Fig 2 - by Hope Simpson (2940060)

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Predicted overlap of environmental suitability for BU and of M. ulcerans occurrence. by Hope Simpson (2940060)

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Total area predicted suitable and population living in suitable areas for Buruli ulcer, <i>M</i>. <i>ulcerans</i>, and both, by country in African continent. by Hope Simpson (2940060)

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Fig 3 - by Hope Simpson (2940060)

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Selection of model occurrence points from Buruli ulcer database. by Hope Simpson (2940060)

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Individual model performance evaluation statistics for models of environmental suitability for <i>Mycobacterium ulcerans</i>. by Hope Simpson (2940060)

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Individual model performance evaluation statistics for models of environmental suitability for Buruli ulcer. by Hope Simpson (2940060)

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Variable importance plots of the contribution of environmental covariates to random forest models of suitability. by Hope Simpson (2940060)

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Distribution of background points used in Buruli ulcer suitability models. by Hope Simpson (2940060)

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Distribution of background points used in <i>Mycobacterium ulcerans</i> suitability models. by Hope Simpson (2940060)

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Total area predicted suitable and population in areas at risk for Buruli ulcer, M. ulcerans, and both, in Africa. by Hope Simpson (2940060)

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Validation metrics for ensemble models for BU and <i>M</i>. <i>ulcerans</i> suitability. by Hope Simpson (2940060)

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Variable importance plots of the contribution of environmental covariates to random forest models of suitability. by Hope Simpson (2940060)

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Selection of pseudoabsence points included in Buruli ulcer suitability models. by Hope Simpson (2940060)

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Marginal effect plots showing the relationship between environmental covariates and suitability for Buruli ulcer and <i>Mycobacterium ulcerans</i> in random forest models. by Hope Simpson (2940060)

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Predicted environmental suitability for the occurrence of BU disease and associated error of prediction, including all clinically diagnosed cases of BU. by Hope Simpson (2940060)

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