feat: implement analytics component

[drduhe]

Issue #, if available: n/a

Analytics & Comparison Feature

Adds an analytics sidebar and enhanced globe visualization for viewing aggregate detection statistics, comparing model runs, and interactively filtering features by classification or confidence.

New: Analytics Panel & Charts

• AnalyticsPanel — collapsible right-side sidebar toggled from a new button in the top-right, independent of the existing OsmlMenu
• AnalyticsSummary — per-layer card showing feature count, average confidence, confidence histogram, and classification breakdown
• ConfidenceHistogram — custom SVG bar chart (10 bins, red→green gradient); clickable bins create confidence-range filters
• ClassificationChart — custom SVG stacked bar showing classification proportions; clickable segments create classification filters
• FilterChips — removable filter pills with "Clear all"; filters combine with AND logic and dim non-matching features on the globe
• ComparisonView — side-by-side stats table and spatial overlap summary when exactly two layers are selected

New: Analytics State & Computation

• AnalyticsContext — lightweight React context layered on ResourceContext; manages color mode, active filters, selected layers, and memoized LayerStats per feature collection
• analyticsCompute.ts — pure functions for confidence histograms, classification aggregation, and polygon/point spatial overlap detection (bounding-box pre-filter + edge-intersection)
• analyticsExtract.ts — extracts FeatureRecord[] and entity geometries from Cesium GeoJsonDataSource, handling OSML feature_classes, nested properties, and multiple classification key conventions

New: Globe Styling

• cesiumStyling.ts — three styling modes applied to Cesium entities in-place:
  • By layer (default) — existing behavior
  • By confidence — red→yellow→green gradient
  • By classification — 10-color palette with consistent assignment
• Filter highlighting — matching features at full opacity, non-matching dimmed to ~8%
• Comparison overlay — unique features outlined in their layer color, overlapping features in white with thicker outline
• useAnalyticsGlobeStyling hook — single unified effect that sequences base color → comparison overlay → filter highlighting to avoid desync

Improved: Result Loading & Deduplication

• ImageRequestModal now tracks imageName and modelName on request status, skips re-loading imagery layers that already exist
• useImageRequestResults deduplicates result loads by imageName, uses a loadingRef guard against concurrent loads, and builds descriptive layer names (image / model results)
• modelRunnerHelper uses functional setImageRequestStatus updater to preserve existing data fields

Other Changes

• ResourceContext — FeatureCollectionResource extended with optional filteredFeatureCount, confidenceThreshold, and imageName
• types.ts — ImageRequestData extended with imageName and modelName
• styles.css — .analytics-toggle positioning
• .gitignore — docs/ added (planning docs excluded from repo)

Tests

• analyticsCompute.test.ts — histogram bucketing, stats aggregation, spatial overlap (polygon intersection, containment, point-in-polygon, non-intersecting)
• analyticsExtract.test.ts — entity extraction, nested property formats, OSML feature_classes, hidden entity visibility
• cesiumStyling.test.ts — confidence-to-color gradient, classification palette consistency, clamping

Checklist

Before you submit a pull request, please make sure you have the following:

• Code changes are compact and well-structured to facilitate easy review
• Changes are documented in the README.md and other relevant documentation pages
• PR title and description accurately reflect the changes and are detailed enough for historical tracking
• PR contains tests that cover all new code and the code has been manual tested
• All new dependencies are declared (if any), and no unnecessary libraries are added
• Performance impacts (if any) of the changes are evaluated and documented
• Security implications of the changes (if any) are reviewed and addressed
• I have read the Contributing Guidelines and agree to follow the Code of Conduct

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

[devinglauner]

LGTM