Skip to content

Methodology

Transparent inputs, deterministic scoring, clearly labeled explanations.

One Perfect Park Day is designed to show why something makes sense today without pretending that conditions, mapped facilities, or AI summaries are perfect.

Official

National Park Service

Alerts, park details, and official links.

Community mapped

OpenStreetMap

Facilities, mapped paths, and amenity coverage.

Official

National Weather Service

Forecast and current weather signals.

Official

AirNow

Air-quality context where coverage exists.

Official

Recreation.gov

Reservation context for constrained access.

Application derived

Application scoring

Deterministic recommendation weighting.

AI explanation

Grounded AI explanation

Plain-language explanation of cited signals.

Score example

Recommendation labels combine more than 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

Recommendation engine

Deterministic ranking comes before generated language.

Each request is scored from mapped park features, current-condition snapshots, official alerts, available daylight, air-quality coverage, nearby facilities, and the visitor preferences submitted with the request.

Classifications

Recommended, good option, caution, affected, and insufficient data labels are produced by scoring rules. Official closure and emergency alerts can override the normal ranking.

Confidence

High, medium, and low confidence reflect source authority, geometry quality, weather and air-quality coverage, alert association confidence, and missing feature data.

Explanations

AI text is limited to explaining the deterministic result from supplied facts. It cannot create new stops, invent conditions, or turn an affected option into a recommendation.

Map visual system

A warm map style that still reads as a tool.

Land

Warm neutral land keeps the map aligned with field-paper surfaces.

Water

Muted blue-green water supports teal brand accents without overpowering labels.

Selected marker

Sunrise amber highlights selected recommendations and selected park markers.