Introduction | Setup | Accessing Package Data | Understanding The Required Data Inputs | Metadata | Environmental Measurements | Weighting Scores | Data expectations | Calculating The Overall Index | Generating Breakdowns By Service Type or Broad Habitat | Build the plot | Basic lines | Point marker for overall line to distinguish trend | Fix the Y scale to match the 90-110 range | Consistent X scale | Labels | Classic theme (solid axis lines, no grid) | Minimal centering for the title | Prepare the data: | Build the plot: | Lines for all habitats | Diamond marker on the overall trend line | We filter by 'breakdown' because that remains "overall" internally | Fix the Y scale | The requested classic theme | Digging Deeper - Accessing Elements of the Calculation Process | 1. Prepare the data | Extract years and values into a long-format data frame | Calculate correlations for the annotation | Pivot to long format for ggplot | 2. Create the ggplot

Learn more | Details of the bundled data objects | Metadata objects | Environmental measurements objects | Weighting objects

Introduction | Step 1: Assembling the metadata | Step 2: Creating the data input spreadsheet | Step 3: Read in data from the completed template