Tutorials focused on specific skills within the climasus4r ecosystem — from first steps to advanced heatwave and cold wave analyses, covering INMET climate data, bioclimatic indices, and climate-health integration strategies.
| Tutorial | Title | Main Functions |
|---|---|---|
| 1 | Introductory Tutorial | sus_data_import(), sus_data_aggregate(), sus_climate_inmet() |
| 2 | Case Studies | Complete pipeline SIM, SINAN, SIH |
| 3 | INMET Download | sus_climate_inmet(), sus_climate_fill(), sus_climate_plot_fill() |
| 4 | Bioclimatic Indices | sus_climate_compute_indicators() |
| 5 | Aggregation Part 1 | sus_climate_aggregate() — 10 strategies |
| 6 | Aggregation Part 2 | sus_climate_aggregate() — practical guide |
| 7 | Heatwaves | sus_climate_compute_heatwaves(), sus_climate_plot_heatwaves() |
| 8 | Cold Waves | sus_climate_compute_coldwaves(), sus_climate_plot_coldwaves() |
Introductory Tutorial
Learn the complete workflow: from package installation to building time series. Ideal for beginners with no prior experience.
Get Started →Case Studies in Climate Epidemiology
Four complete pipelines with real DATASUS + INMET data: pediatric respiratory mortality, dengue in the Northeast, cardiovascular disease in the elderly during heatwaves, and hospitalizations in the South Region.
View Case Studies →Automatic Download and Machine-Learning-Based Gap Filling of INMET Data
A practical guide with sus_climate_inmet(), sus_climate_fill(), and sus_climate_plot_fill().
Get Started →Bioclimatic Indices for Public Health
Practical Guide: sus_climate_compute_indicators().
View Tutorial →PART 1: Integrating Climate and Health Data
The 10 Temporal Alignment Strategies of sus_climate_aggregate().
Get Started →PART 2: Integrating Climate and Health Data
Practical Guide: sus_climate_aggregate().
View Tutorial →Detection and Visualization of Heatwaves
Pipeline INMET → Gap Filling → Indicators → Heatwaves | sus_climate_compute_heatwaves() and sus_climate_plot_heatwaves().
View Tutorial →Detection and Visualization of Cold Waves
Pipeline INMET → Gap Filling → Indicators → Cold Waves | sus_climate_compute_coldwaves() and sus_climate_plot_coldwaves(). Porto Alegre (RS) station, 2010–2023.
View Tutorial →