Methodology

This site combines authoritative environmental and recreation data into transparent planning context. Scores describe conditions, not guaranteed catches, wildlife encounters, migrations, safety, legal access, or harvest success.

Decision first

Each activity page turns measurements into a structured planning decision: whether today or tomorrow currently looks better, which signal matters most, what that signal changes for the activity, and what important evidence is still missing. Tomorrow comparisons use forecastable inputs only; for paddling, current water measurements are carried forward and visitors are told to recheck the gauge before launch.

Evidence first

Official source data is stored separately from derived scores and AI-written explanations. Missing evidence is shown as missing rather than filled in by AI.

Activity-specific publication gates

Weather alone cannot publish a page. Paddling requires a real water measurement and rejects camping-only destination matches. Big-game requires an authoritative hunt-area identity and terrain context. Waterfowl requires authoritative place identity plus mapped wetland context. Camping requires an authoritative recreation record plus environmental context.

AI is presentation, not evidence

When enabled, OpenAI may explain already-verified facts in clearer language. AI output cannot create species occurrence, access rights, regulations, harvest statistics, safety claims, or publication eligibility.