refactor: replace sampling with strategic geometric intersection tests
Replace arbitrary grid sampling with principled geometric intersection detection. Previous approach (sampling): - 11×11 grid = 121 point tests - Arbitrary density - had to guess how dense to make it - Wasteful - most points tested empty space New approach (geometric): - 9 strategic points: 4 corners + center + 4 edge midpoints of detection box - Additional check: if region center is inside box, verify it's in region fill - Total: ~10 point tests (vs 121 before) - Based on geometric reasoning, not arbitrary density Why this works: - Tests the boundary of the detection box (corners + edges) - Catches regions that intersect the box from any angle - Catches tiny regions entirely contained in box (center check) - More efficient and more correct This properly handles: - Large regions intersecting box (corners/edges catch them) - Tiny regions inside box (center check catches them) - Irregularly shaped regions (boundary points catch them) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -173,12 +173,6 @@ export function useRegionDetection(options: UseRegionDetectionOptions): UseRegio
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}
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// Bounding box overlaps - now check actual path geometry
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// Sample a dense grid of points within the detection box
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// For 50px box: 11×11 = 121 sample points (every ~5px)
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// This ensures we don't miss tiny regions like San Marino (1-2px)
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const samplesPerSide = 11
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const sampleStep = detectionBoxSize / (samplesPerSide - 1)
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let overlaps = false
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let cursorInRegion = false
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@ -204,18 +198,64 @@ export function useRegionDetection(options: UseRegionDetectionOptions): UseRegio
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svgPoint = svgPoint.matrixTransform(inverseMatrix)
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cursorInRegion = regionPath.isPointInFill(svgPoint)
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// Sample points in detection box to check for overlap
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for (let i = 0; i < samplesPerSide && !overlaps; i++) {
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for (let j = 0; j < samplesPerSide && !overlaps; j++) {
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// For overlap detection, we need to check if:
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// 1. Any corner of the detection box is inside the region, OR
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// 2. Any point of the region is inside the detection box
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//
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// Since we can't easily check #2 without path APIs, we'll use a hybrid approach:
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// - Check all 4 corners of detection box
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// - Check center point
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// - Check midpoints of each edge (for regions that touch edges but not corners)
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// This gives us 9 strategic points that catch most intersections
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const testPoints = [
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// Four corners
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{ x: boxLeft, y: boxTop },
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{ x: boxRight, y: boxTop },
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{ x: boxLeft, y: boxBottom },
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{ x: boxRight, y: boxBottom },
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// Center
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{ x: cursorClientX, y: cursorClientY },
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// Edge midpoints
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{ x: (boxLeft + boxRight) / 2, y: boxTop },
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{ x: (boxLeft + boxRight) / 2, y: boxBottom },
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{ x: boxLeft, y: (boxTop + boxBottom) / 2 },
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{ x: boxRight, y: (boxTop + boxBottom) / 2 },
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]
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for (const point of testPoints) {
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svgPoint = svgElement.createSVGPoint()
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svgPoint.x = boxLeft + i * sampleStep
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svgPoint.y = boxTop + j * sampleStep
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svgPoint.x = point.x
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svgPoint.y = point.y
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svgPoint = svgPoint.matrixTransform(inverseMatrix)
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if (regionPath.isPointInFill(svgPoint)) {
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overlaps = true
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break
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}
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}
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// Additional check: if region is entirely contained within detection box,
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// the above tests might miss it. Check if region's bounding box center
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// is inside detection box AND the region is small enough to fit
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if (!overlaps) {
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const regionCenterX = (regionLeft + regionRight) / 2
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const regionCenterY = (regionTop + regionBottom) / 2
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const regionInBox =
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regionCenterX >= boxLeft &&
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regionCenterX <= boxRight &&
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regionCenterY >= boxTop &&
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regionCenterY <= boxBottom
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if (regionInBox) {
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// Region center is in box - verify the center point is actually in the region
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svgPoint = svgElement.createSVGPoint()
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svgPoint.x = regionCenterX
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svgPoint.y = regionCenterY
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svgPoint = svgPoint.matrixTransform(inverseMatrix)
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if (regionPath.isPointInFill(svgPoint)) {
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overlaps = true
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}
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}
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}
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}
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