Description Usage Arguments Value
View source: R/IndicatorAssessment.R
Many biodiversity indicators require an assessment. These assessments typically try to identify if the composite trend has notably changed over time. This function estimates the proportional change between the first and last year of the time series (the long-term trend), and a user specified short-term trend. Further changes to this script will allow users to specify the years used for the short and long-term assessment.
1 2 3 4 5 6 7 | IndicatorAssessment(
indata = "../outputs/pollinators_2016_arithmetic_logit_occ_composite_trend_iterations.csv",
output_path = "../outputs/",
group_name = "pollinators_2016",
st_length = 5
)
|
indata |
A .csv file containing mean trend (indicator index value) values, columns are years, rows are iterations. Columns must be ordered left to right, first year to last year. This restriction will be updated soon. |
output_path |
The location where the output will be saved. |
group_name |
The name used for saving the output |
st_length |
The number of years used for the short-term trend |
A .csv file summarising the long and short-term assessments. The "best guess" for the overall trend is taken as the mean value across the iterations. Uncertainty in the assessments are presented as the upper and lower 95
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