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"Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk". Source code.

Authors: Lázaro, Elena;

"Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk". Source code.

Abstract

“Decision support systems halve fungicide use compared to calendar-based strategies without increasing disease risk”. R-code developed to reproduce and replicate the statistical analysis. Article published at Communications Earth & Environment. https://doi.org/10.1038/s43247-021-00291-8 | www.nature.com/commsenv For questions, comments or remarks about the code please contact E. Lázaro (lazaro_ele@gva.es) Source code has been structured in 6 R scripts and the dataset (data.txt) that must be uploaded during the execution of each one of the scripts: data_description.R contains the full code to reproduce and replicate Figure 1. data_description_supp.R contains the full code to reproduce and replicate Figures S1, S2, S3, S4 and S5. mi.R contains the full code to reproduce and replicate i) the meta-analysis of disease incidences under the different control strategies (MI) related models, ii) the MI model selection (Table S5) and iii) the MI effect sizes (Figures 2 and S7). mi_supp.R contains the full code to reproduce and replicate i) the MI model evaluation (Figures S6) and ii) the MI sensitivity analysis (Figure S11) mis.R the full code to reproduce and replicate i) the meta-analysis relating disease incidences to the number of sprays under the different control strategies (MIS), ii) the MIS model selection (Table S7) and iii) the MIS effect sizes (Figures 3, 4 and and S9). mis_supp.R contains the full code to reproduce and replicate i) the MIS model evaluation (Figures S8) and the MIS sensitivity analysis (Figure S12). data.txt contains the dataset that must be uploaded during the execution of each one of the scripts Comments: The scripts have been created under UTF-8 encoding. The scripts have been executed with the R version 3.6.0 (2019-04-26); Platform: x86_64-w64-mingw32/x64 (64-bit); Running under: Windows >= 8 x64 (build 9200) It is recommended to execute the R scripts in the order in which they have been introduced in the present document.

{"references": ["L\u00e1zaro et al. (2021). Source code associated to \"Decision support systems halve\u00a0fungicide use\u00a0compared to calendar-based strategies without increasing disease risk\""]}

Keywords

Stan software, Crop protection, Pesticides management, Beta-binomial models, Farm to Fork strategy, Bayesian meta-analysis

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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