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Climate variables identified as important by the random forest model when the model with all covariates was run, and when a model with only climate covariates was run (only C).

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Figshare2019-06-03 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Climate_variables_identified_as_important_by_the_random_forest_model_when_the_model_with_all_covariates_was_run_and_when_a_model_with_only_climate_covariates_was_run_only_C_/8220065
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Model results are presented for human cases in those counties where mosquito surveillance data were collected, and for mosquito infection rates (MLE) at both the county and trap scales. Values in the table indicate the amount of unique variation explained by the variable using variance partitioning, while a blank indicates that the variable was not included in the final predictive model.
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2019-06-03
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