Analysis Pathways
This page signposts to the climatehealth R package (available via the SOSCHI GitHub or the CRAN repository in Rstudio). It also includes guidance to help users understand the two options that will be available to run the analysis of the SOSCHI indicators, depending on your level of technical experience and the flexibility required. Please note that the second pathway is still in development.
Please note the "general guidance" provided, applicable to both approaches, which start with the same input - a prepared excel (.csv) file following the data template and data preparation guidance as per the indicator methodology documentation.
GENERAL GUIDANCE
- Always prepare and check input data (respective indicator guidance in section 2.3 and 3.2 of the methodology document).
- Always review descriptive statistics before modelling.
- Always interpret results using the indicator methodology document.
- Always review model validation metrics to assess the quality of the statistical model.
To get started, please choose the recommended path (option 1) for more information.
Intended users: Users who can read, edit and run scripts in R to use pre-built functions.
Key features:
- Run the full analysis using developed analysis functions for each indicator
- Allows users to configure analysis parameters
- Includes descriptive statistics function
- Statistical model validation is included for selected indicators
Important notes
Guidance on sensitivity analysis and using model validation information to iterate development is provided in section 3.6 and 3.7 of the methodology document.
It is strongly advised to run descriptive statistics and model validation separately following guidelines set in the methods documentation (section 3.3 and 3.7 respectively).
See section 6.2 of the methodology document for guidance on function parameters.
Pathway steps:
Section numbers refer to corresponding indicator methodology documents.
Prepare input csv
1. Run descriptive statistics
descriptive_stats function
2. Run analysis
do_analysis function
3. View and interpret results
NOTE: The Indicator Tools pages are in development. Please check back later for information on this analysis pathway.
