get_costs_per_reduction_1unit: Function to get effectiveness of measures over scenarios in...
In biopsichas/swattools: SWAT output assessment and visualising of modelling results
Description
Usage
Arguments
Value
Examples
Description
This function allows comparing scenarios taking into account areas and costs of implemented measures.
Output of function is how much it cost to decrease (negative values) or increase (positive values)
each in parameters by one unit (either 1 kg or 1 cubic meter of water) in scenario for reach or
setup or whole country.
Usage
1
get_costs_per_reduction_1unit(df, cost_list)
Arguments
df
Data.frame of imported output.*** SWAT file processed with
get_diff_from_baseline function by option of 'a' (absolute difference).
cost_list
A list of measure names and costs. Example, cost_list <- list(measure_30 = 248,
measure_33 = 4, measure_34 = 2, measure_37 = 1, measure_39 = 22, measure_40 = 58)
Value
Data.frame of results showing cost-effectiveness of implementing measure in euros
per one unit (1 kg or 1 cms) of reduction (negative values) or increase (positive values).
Examples
1
## result <- get_costs_per_reduction_1unit(df, cost_list)
biopsichas/swattools documentation built on May 27, 2021, 6:17 p.m.
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Description Usage Arguments Value Examples
Description
This function allows comparing scenarios taking into account areas and costs of implemented measures. Output of function is how much it cost to decrease (negative values) or increase (positive values) each in parameters by one unit (either 1 kg or 1 cubic meter of water) in scenario for reach or setup or whole country.
Usage
1 | get_costs_per_reduction_1unit(df, cost_list)
|
Arguments
df |
Data.frame of imported output.*** SWAT file processed with get_diff_from_baseline function by option of 'a' (absolute difference). |
cost_list |
A list of measure names and costs. Example, cost_list <- list(measure_30 = 248, measure_33 = 4, measure_34 = 2, measure_37 = 1, measure_39 = 22, measure_40 = 58) |
Value
Data.frame of results showing cost-effectiveness of implementing measure in euros per one unit (1 kg or 1 cms) of reduction (negative values) or increase (positive values).
Examples
1 | ## result <- get_costs_per_reduction_1unit(df, cost_list)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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