National Park Service
Alerts, park details, and official links.
Methodology
How we turn park data into planning notes.
We start with source data, keep uncertainty visible, and use plain language to explain what may matter for a visit.
One Perfect Park Day uses official NPS profiles and alerts, mapped facilities, weather, air quality, daylight calculations, and application-derived scoring. Recommendations are planning aids, not safety guarantees or replacements for official park instructions.
For citation and verification, each park page keeps source categories visible: official records, community-mapped features, application-derived scoring, and AI explanations that summarize supplied facts only.
OpenStreetMap
Facilities, mapped paths, and amenity coverage.
National Weather Service
Forecast and current weather signals.
AirNow
Air-quality context where coverage exists.
Recreation.gov
Reservation context for constrained access.
Application scoring
Deterministic recommendation weighting.
Grounded AI explanation
Plain-language explanation of cited signals.
Citation summary
What each recommendation can be traced back to.
Official records
NPS park profiles, alerts, operating links, and cached feature records provide the highest-authority inputs when they are available.
Mapped and weather inputs
OpenStreetMap amenities, forecast periods, air-quality coverage, coordinates, and daylight calculations add local context for the visit window.
Scoring and AI text
Application rules classify fit and confidence before any AI wording appears; AI explanations summarize supplied facts without creating conditions or guarantees.
Example notes
The labels come from practical checks, not popularity.
Strong match
Start with a shaded visitor-center loop
60-90 min
Easy walking
Matches a shorter visit, current heat exposure, restroom access, and child-friendly pacing.
OfficialCommunity mappedApplication derivedConfidence: High
Good option
Keep the scenic overlook as a flexible alternative
30-45 min
Low walking
Useful if parking is full or weather turns; conditions are favorable but source coverage is thinner.
Community mappedApplication derivedAI explanationConfidence: Medium
How suggestions are made
Scoring comes before any written explanation.
We compare mapped park features, current-condition snapshots, official alerts, daylight, air-quality coverage, nearby facilities, and the visit details you provide.
Labels
Recommended, good option, caution, affected, and insufficient data labels come from scoring rules. Official closure and emergency alerts can outweigh everything else.
Confidence
High, medium, and low confidence reflect source authority, map quality, weather and air-quality coverage, alert matching, and missing feature data.
Explanations
AI text only explains the result from supplied facts. It cannot create new stops, invent conditions, or turn an affected option into a recommendation.
Map style
A quiet map, meant for reading.
Land
Warm neutral land keeps the page calm while the labels stay readable.
Water
Muted blue-green water keeps the map gentle instead of loud.
Selected marker
Sunrise amber marks the park or suggestion you are looking at.