Dashboard — Seller Financing World

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All (49,013) Self-Storage (6,315) Mobile Home Parks (7,982) Car Washes (7,857) Laundromats (5,362) RV Parks (8,082) Marinas (3,500) Budget Motels (9,891) Mailbox / Pack & Ship (24)

Has Phone Has Email Has Owner For Sale Has Valuation

Map:

Public Storage

Cincinnati, OH · 2900 Disney Street

Capital Mini Storage

OH · Reynoldsburg Baltimore Road Northwest

Market Street Storage

McArthur, OH · South Market Street

Rushville Mini Storage

Rushville, OH · Market Street

Ace Storage

Nelsonville, OH · Elm Rock Road

Athens Storage

Nelsonville, OH · Business US 33

Affordable Mini Storage

The Plains, OH · Pine Street

Athens Mini Storage

Albany, OH · SR 681

McArthur Storage, LLC

McArthur, OH · 118 Sohio Drive

SecurCare Self Storage

Euclid, OH · 1500 Brush Road

Circle Storage

OH

Brown County Storage

OH

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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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