Package index • whep

Tidy datasets

Get cleaned dataframes with project related data.

Production, supply/use, and processing datasets.

Bilateral trade datasets.

Nitrogen inputs, outputs, production, and destinies for Spain.

create_n_prov_destiny(): GRAFS Nitrogen (N) flows
create_n_soil_inputs(): Nitrogen (N) soil inputs for Spain
create_n_production(): N production for Spain
calculate_nue_crops(): N soil inputs and Nitrogen Use Efficiency (NUE) for crop
calculate_nue_livestock(): NUE for Livestock
calculate_system_nue(): System NUE
create_n_nat_destiny(): GRAFS Nitrogen (N) flows at Spain national level

Fetch large files from external sources and cache them.

Add name columns in dataframes from their codes or viceversa.

items_cbs: Commodity balance sheet items
add_item_cbs_code(): Get commodity balance sheet item codes from item names
add_item_cbs_name(): Get commodity balance sheet item names from item codes

Download FAOSTAT data as is.

get_faostat_data(): Scrapes activity_data from FAOSTAT and slightly post-processes it

Get a tidy dataframe with the found sources for different data.

Functions to fill gaps (NA values) in time-dependent variables using different methods.

fill_linear(): Fill gaps by linear interpolation, or carrying forward or backward.
fill_sum(): Fill gaps summing the previous value of a variable to the value of another variable.
fill_proxy_growth(): Fill gaps using growth rates from proxy variables

Functions for index decomposition analysis.

Functions to harmonize time series items according to specified mapping.

harmonize_simple(): Harmonize rows labeled "simple" by summing values
harmonize_interpolate(): Harmonize advanced cases with interpolation for 1:N groups