Core evidence
Sea level, rainfall, disaster loss, affected persons, and crop yield form the core evidence chain.
Evidence and method
How the pressure chain is built
The method separates official climate and disaster evidence from supporting cost-of-living and real-life context. It treats the story as a pressure-chain interpretation, not a single-variable causation model.
Supporting context
CPI/inflation frames household pressure only. It is not treated as proof of direct causation.
Country comparison
Rankings use available reported totals and should not be read as a complete vulnerability measure.
Interpretation guardrail
The story shows connected pressure, not a single-variable attribution model.
Rules and licence verification
Challenge requirements and interpretation checks
This section keeps the submission transparent: the entry uses official challenge datasets, treats CPI/inflation as supporting context, and makes the interpretation boundary visible.
Official dataset requirement
The entry uses more than one dataset from the official 2026 climate-change dataset list, including sea level anomalies, rainfall anomalies, crop yield, direct disaster economic loss, and directly affected persons.
Open supporting data
CPI/inflation is used as supporting open-data context only. It is cited separately and not presented as an official causation dataset.
Interactive dataviz format
The project is a public web presentation with scrolling, country selection, clickable map markers, dynamic charts, and selected-country insight cards.
Public URL availability
Before submission, confirm that the final URL loads without login and remains available long term. The rules require interactive entries to remain accessible until at least 31 August 2029.
Dataset licence terms
Confirm final licence labels from each source page and keep all dataset names and source providers visible in the source footer.
Submission form explanation
Prepare a short problem statement explaining the climate-to-cost pressure-chain argument and how the dataviz responds to that problem.
AI usage statement
AI supported the build, but did not replace the human judgement.
AI assistance was used for coding support, wording refinement, layout iteration, and implementation troubleshooting. Dataset selection, story framing, interpretation limits, final design decisions, and validation were directed and reviewed by the project owner.
- Human-led story direction and country focus.
- Human-reviewed interpretation guardrails.
- AI used as an assistant for implementation and polish.
- Final public entry should disclose AI support if the form asks for it.
Technical appendix
Submission readiness checklist
A compact check for public access, citations, mobile readability, and interpretation clarity.
Pass
Official datasets used
Core charts are driven by cleaned Pacific Data Hub / PDH.stat datasets.
Pass
Methodology visible
Evidence, ranking method, CPI use, and interpretation limits are stated clearly.
Pass
Interactive country lens
Country selector and map markers update charts, transition text, and country lens cards.
Review
Public URL check
Confirm the final published page loads at without login.
Review
Source citation check
Confirm final dataset names, licence notes, and challenge dataset references are listed.
Review
Mobile view check
Check phone/tablet layout after upload and confirm map and charts remain readable.