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Analysis Pathways

This page provides access to the climatehealth R package , available via the SOSCHI GitHub repository . It also offers guidance to help users choose between two available pathways for running SOSCHI indicator analyses, depending on their level of technical expertise and the flexibility required. The second pathway is currently under development. Additionally, the code and analytical functions related to temperature-related health effects are being revised and reviewed. Updates to the R package for temperature-related health effects are coming soon. Please check back for the latest developments.

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.

Important information:

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.

Option 1: R package pathway - recommended
Important 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 information:

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

  • (see section 3.3)

2. Run analysis

do_analysis function

  • Includes statistical modelling
  • (see section 3.4)
  • Includes model validation for specific indicators
  • (see section 3.7)

3. View and interpret results

  • (see section 4)
Option 2: Online Indicator tools pathway
Important information:

NOTE: The Indicator Tools pages are in development. Please check back later for information on this analysis pathway.