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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)

Has Phone Has Email Has Owner For Sale Has Valuation

Map:

Gadue's Dry Cleaning

South Burlington, VT · 430 Shelburne Road

New York Cleaners

Essex Junction, VT · 101 Pearl Street

Capital Dry Cleaners

Montpelier, VT · 9 Main Street

J & J Dry Cleaners

Manchester Center, VT · 4975 Main Street

Euro Cleaners

VT

Henry's Dry Cleaners

VT

Bedford Dry Cleaner

VT

Cleary Cleaners

VT

Dave's Dry Cleaning

VT

Gadue's Dry Cleaning

VT

Garden Island Laundromat

VT

True Blue Cleaners

Nashua, VT · 120 East Dunstable Road

KT Cleaners

Nashua, VT · 350 Amherst Street

True Blue Cleaners

Nashua, VT · 14 Progress Avenue

True Blue Cleaners

Merrimack, VT · 308 Daniel Webster Highway

Best Cleaners

Nashua, VT · 20 Northwest Boulevard

Tiffany Cleaners

Nashua, VT · 650 Amherst Street

// 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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