| check_products_column_names |
Check if column names of applied pesticide products dataframe are valid |
| check_substance_column_names |
Check if column names of substances dataframe are valid |
| compute_pesticide_load_indicator |
Compute Pesticide Load Indicator with user supplied information on pesticide properties |
| compute_risk_score |
Calculates the sum of risk scores from a list of H-phrases and expands the table |
| default.load.factors |
Default load factors |
| match.ppdb |
Expend tables with information on ecotoxicity, fate (and human health) properties from PPDB |
| products.load |
load included products.xlsx file |
| products.path |
path to includedexamples products.xlsx file |
| required_columns_products |
Computing the Pesticide Load Indicator for pesticide application data The provided functions will compute the Pesticide Load Indicator (PLI) as described in Kudsk et al. (2018) for pesticide application data provided by the user. Computing the PLI requires information on applied pesticides in a table format, as well as information on fate, ecotoxicity and human health properties of applied pesticide products, as provided in the Pesticide Properties Database (PPDB) of the University of Hertfordshire. See below for a detailed description. The PLI can either be computed using user supplied information on pesticide properties or by automatically including the information based on the PPDB. Access to the PPDb requires a license - see http://sitem.herts.ac.uk/aeru/ppdb/. |
| substances.load |
load included substances.xlsx file |
| substances.path |
path to included examples substances.xlsx file |
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