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wcswatin-package wcswatin

wcswatin: Climate & Weather SWAT Input.

Data Input & Loading

Functions for loading different data types

input_raster()

Input Raster

input_table()

Input Table

input_vector()

Input Vector

var_names()

Shows the variables present in a netcdf

Raster/NetCDF Processing

Functions for processing gridded climate data

study_area_records()

Study Area Records

layervalues2pixel()

Series of Pixel Values

cube2table()

Convert a Cube format data into a Table format

datacube_aggregation()

Create a daily aggregation from an hourly datacube

daily_aggregation()

Create a daily aggregation from an hourly dataset

tbl_from_references()

Create a table with the values extracted from the reference points

Station Data Processing

Functions for processing weather station data

point_to_daily()

Transforms the raw value from point perspective to a daily perspective

files_to_table()

Turns multiple time series files into a single table

table_to_files()

Export tables to txt or csv files

fill_gap()

A wrapper function for filling gaps in the rainfall time series

ts_to_point()

Trend Surface Interpolation into Targeded Points

ts_to_area()

Trend Surface Interpolation into Raster

save_daily_tbl()

Save the csv files after transformation to daily form

SWAT-Specific Functions

Functions for SWAT model input preparation

var_main_creator()

Main table creator for SWAT Input from Trend SUrface Interpolation

main_input_var()

Main table constructor by Variable

rh_calculator()

Calculate the Relative Humidity from dewpoint and ambient temperature

windspeed_calculator()

Calculate the wind speed from Eastward and Northward Near-Surface Wind

Data Analysis & Utilities

Helper functions for data analysis

count_na()

Count the amount or percentage of NA in a table by column

summary_table()

Table summary of the data

summary_plot()

Plot a summary of the data

unit_converter()

Unit Converter