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All (78,335) Self-Storage (6,623) Mobile Home Parks (7,641) Car Washes (9,819) Laundromats (7,714) RV Parks (22,383) Marinas (5,509) Budget Motels (10,145) Mailbox / Pack & Ship (47) Gas Stations (35) Dry Cleaners (8,419)
Map:

Gardner Dry Cleaners

2

Louisville, KY · 3932 Park Drive

Dry Cleaners
Phone

Highland Cleaners

2

Louisville, KY · 9410 Brownsboro Road

Dry Cleaners
Phone

Highland Cleaners

2

Prospect, KY · 9211 US-42

Dry Cleaners
Phone

East End Cleaners

3

Louisville, KY · 14045 Shelbyville Road

Dry Cleaners

Mike's Village Cleaners

3

Middletown, KY · 11770 Shelbyville Road

Dry Cleaners
Phone

Boone's Dry Cleaning & Laundry

3

Radcliff, KY · 574 North Dixie Boulevard

Dry Cleaners
Phone

Boone Cleaners & Dry Cleaning

3

Radcliff, KY · 689 Knox Boulevard

Dry Cleaners

Evergreen Cleaners

3

Louisville, KY · 300 West Woodlawn Avenue

Dry Cleaners

Dry Clean America

3

KY

Dry Cleaners

Mercury Cleaners

3

KY

Dry Cleaners

Concord Custom Cleaners

3

KY

Dry Cleaners
Phone

Parkway Cleaners

3

KY

Dry Cleaners

Hart's Dry-cleaning and Laundry

3

KY

Dry Cleaners

Reliable Dry Cleaners

3

KY

Dry Cleaners

Bardstown Cleaners

3

KY

Dry Cleaners

Kenny’s Cleaners

3

KY

Dry Cleaners

NuVale Cleaners

3

KY

Dry Cleaners

Pacific Cleaners

3

KY

Dry Cleaners

Highland Cleaners

3

KY

Dry Cleaners

Pacific Dry Cleaners

3

KY

Dry Cleaners

Plainview Cleaners

3

KY

Dry Cleaners

Highland Cleaners

3

KY

Dry Cleaners

Highland Cleaners

3

KY

Dry Cleaners

Holiday Cleaners

3

KY

Dry Cleaners

Top Quality Dry Cleaners

3

KY

Dry Cleaners

A+ Cleaners

3

KY

Dry Cleaners

Edgewood Cleaners

3

KY

Dry Cleaners

Tide Cleaners

3

KY

Dry Cleaners

Dry Cleaning Etc.

3

KY

Dry Cleaners

Victor's Cleaners & Launderers

3

KY

Dry Cleaners

Jacks Cleaners

3

Richmond, KY · 205 Water Street

Dry Cleaners
Phone

Independence Cleaners

3

KY

Dry Cleaners

Sandy's One Hour Dry Cleaners

3

KY · 103 East 2nd Street

Dry Cleaners

Nu-Yale

3

KY · 704 Highlander Point Drive

Dry Cleaners

Kroner Dry Cleaners

3

KY

Dry Cleaners

Kim's Cleaners

3

KY

Dry Cleaners

Braxton's Dry Cleaning Laundry Specialists

3

KY

Dry Cleaners

Hannah's Cleaners

3

KY

Dry Cleaners

Mt. Vernon Dry Cleaner

3

KY

Dry Cleaners

Harold's Cleaners

3

KY

Dry Cleaners

Nu Yale

3

KY

Dry Cleaners

Cleaners

3

KY

Dry Cleaners

Braxtons Cleaners

3

KY

Dry Cleaners

Atlas Dry Cleaners

3

KY

Dry Cleaners

Hart's

3

Lexington, KY · 1700 Harrodsburg Road

Dry Cleaners

Sunshine Cleaners

3

KY

Dry Cleaners

Osborne's Cleaner

3

KY

Dry Cleaners

Williamsburg Dry Cleaners

3

KY

Dry Cleaners

French Bros. Cleaners

3

Elizabethtown, KY · 801 Dixie Highway North

Dry Cleaners

Don's Claytons DCI Fine Dry Cleaning

3

KY

Dry Cleaners
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// Heat map modes // mapPoints format: [id, lat, lon, category, valuation, data_score, motivated_score] let heatLayer = null; let circleLayer = null; let currentMode = 'markers'; function clearOverlays() { if (heatLayer) { map.removeLayer(heatLayer); heatLayer = null; } if (circleLayer) { map.removeLayer(circleLayer); circleLayer = null; } } function setMapMode(mode) { currentMode = mode; clearOverlays(); // Update button states document.querySelectorAll('.map-mode-btn').forEach(b => b.classList.remove('active')); document.getElementById('btn-' + mode).classList.add('active'); if (mode === 'markers') { markers.addTo(map); return; } map.removeLayer(markers); if (mode === 'density') { // Pure density heatmap const pts = mapPoints.filter(p => p[1] && p[2]).map(p => [p[1], p[2], 1]); heatLayer = L.heatLayer(pts, {radius: 20, blur: 15, maxZoom: 10, max: 5, gradient: {0.2: '#ffffb2', 0.4: '#fd8d3c', 0.6: '#f03b20', 0.8: '#bd0026', 1: '#800026'} }).addTo(map); } else if (mode === 'valuation') { // Circle markers colored by valuation circleLayer = L.layerGroup(); const maxVal = Math.max(...mapPoints.map(p => p[4]).filter(v => v > 0)) || 1; mapPoints.filter(p => p[1] && p[2] && p[4] > 0).forEach(p => { const ratio = Math.min(p[4] / maxVal, 1); const r = Math.round(ratio * 255); const g = Math.round((1 - ratio) * 200); const color = `rgb(${r}, ${g}, 50)`; const radius = 4 + ratio * 10; L.circleMarker([p[1], p[2]], { radius: radius, fillColor: color, color: '#fff', weight: 1, fillOpacity: 0.7 }).bindPopup(`$${(p[4]/1000).toFixed(0)}K`).addTo(circleLayer); }); circleLayer.addTo(map); } else if (mode === 'quality') { // Circle markers colored by data_score circleLayer = L.layerGroup(); mapPoints.filter(p => p[1] && p[2]).forEach(p => { const score = p[5] || 0; const ratio = score / 10; // Green = high, Red = low const r = Math.round((1 - ratio) * 255); const g = Math.round(ratio * 200); const color = `rgb(${r}, ${g}, 50)`; L.circleMarker([p[1], p[2]], { radius: 3 + ratio * 5, fillColor: color, color: '#fff', weight: 0.5, fillOpacity: 0.6 }).addTo(circleLayer); }); circleLayer.addTo(map); } else if (mode === 'motivated') { // Heat map weighted by motivated score const pts = mapPoints.filter(p => p[1] && p[2] && p[6] > 0).map(p => [p[1], p[2], p[6] / 100]); heatLayer = L.heatLayer(pts, {radius: 25, blur: 20, maxZoom: 10, max: 1, gradient: {0.2: '#fff7bc', 0.4: '#fec44f', 0.6: '#fe9929', 0.8: '#d95f0e', 1: '#993404'} }).addTo(map); } }
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