Function reference
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add_atmo_dep() - Update sqlite database with atmospheric deposition data
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add_weather() - Update sqlite database with weather data
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clean_outliers() - Function to clean outliers outside by some standard deviations
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clean_wq() - Clean water quality data from most typical issues
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extract_rotation() - Extract rotation information from raster file
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get_atmo_dep() - Extract EMEP atmospheric deposition data for a catchment
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get_lu_points() - Preparing training points for remote sensing algorithm
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interpolate() - Interpolating and writing results into model input files
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load_template() - Function providing loading for data templates (with single and multiple data sheets) (data should have been cleaned before).
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plot_cal_data() - Plotting calibration data
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plot_fractions() - Plot regression and fractions for each month between parts of nutrient and total
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plot_map() - Preparing interactive map of monitoring points
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plot_monthly() - Aggregating values of single station to interactive monthly box plots
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plot_weather() - Prepare the plotly figure for weather data
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plot_weather_compare() - Plotting figure to comparing two datasets with weather data
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prepare_wgn() - Function to generate wgn data for the model
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transform_to_list() - Transforming list of sp dataframes to list of list
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add_missing_pcp_zero() - Replace empty PCP entry with 0
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fill_with_closest() - Filling missing variables from the closest stations, which has data.
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usersoil_to_sol() - Convert usersoil.csv to soils.sol
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get_usersoil_table() - Function to prepare user soil table for SWAT model
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plot_wgn_comparison() - Plot wgn parameters comparison
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load_climate_lst() - Extract climate data into nested list of lists
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update_wst_txt() - Updating wst_id information in model text files
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read_tbl() - Loading SWAT+ text files into dataframe
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prepare_climate() - Function to prepare or update climate data text input files in SWAT+ model