IndicatorAssessment: IndicatorAssessment - Assess the composite trend (indicator)

Description Usage Arguments Value

View source: R/IndicatorAssessment.R

Description

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.

Usage

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
)

Arguments

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

Value

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


GPowney/TrendSummaries documentation built on Nov. 15, 2021, 6:14 p.m.