Large Tree Removal Cost Calculator & Guide
:root {
–primary-color: #004a99;
–success-color: #28a745;
–background-color: #f8f9fa;
–text-color: #333;
–light-gray: #e9ecef;
–white: #fff;
–border-radius: 8px;
–box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background-color: var(–background-color);
color: var(–text-color);
line-height: 1.6;
margin: 0;
padding: 0;
}
.container {
max-width: 1000px;
margin: 20px auto;
padding: 20px;
background-color: var(–white);
border-radius: var(–border-radius);
box-shadow: var(–box-shadow);
}
header {
background-color: var(–primary-color);
color: var(–white);
padding: 20px 0;
text-align: center;
border-radius: var(–border-radius) var(–border-radius) 0 0;
}
header h1 {
margin: 0;
font-size: 2.5em;
}
.calculator-section {
padding: 30px 0;
border-bottom: 1px solid var(–light-gray);
}
.calculator-section:last-child {
border-bottom: none;
}
h2, h3 {
color: var(–primary-color);
margin-bottom: 15px;
}
.loan-calc-container {
background-color: var(–white);
padding: 25px;
border-radius: var(–border-radius);
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05);
}
.input-group {
margin-bottom: 20px;
display: flex;
flex-direction: column;
}
.input-group label {
display: block;
margin-bottom: 8px;
font-weight: bold;
color: var(–primary-color);
}
.input-group input[type="number"],
.input-group input[type="text"],
.input-group select {
width: 100%;
padding: 12px;
border: 1px solid var(–light-gray);
border-radius: var(–border-radius);
box-sizing: border-box;
font-size: 1em;
}
.input-group input[type="number"]:focus,
.input-group input[type="text"]:focus,
.input-group select:focus {
border-color: var(–primary-color);
outline: none;
box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2);
}
.input-group .helper-text {
font-size: 0.85em;
color: #6c757d;
margin-top: 5px;
}
.error-message {
color: #dc3545;
font-size: 0.85em;
margin-top: 5px;
display: none; /* Hidden by default */
}
.error-message.visible {
display: block;
}
.button-group {
display: flex;
gap: 10px;
margin-top: 25px;
flex-wrap: wrap;
}
.btn {
padding: 12px 20px;
border: none;
border-radius: var(–border-radius);
cursor: pointer;
font-size: 1em;
font-weight: bold;
transition: background-color 0.3s ease;
text-decoration: none;
display: inline-block;
text-align: center;
}
.btn-primary {
background-color: var(–primary-color);
color: var(–white);
}
.btn-primary:hover {
background-color: #003366;
}
.btn-secondary {
background-color: var(–light-gray);
color: var(–primary-color);
border: 1px solid var(–primary-color);
}
.btn-secondary:hover {
background-color: #d3d9e0;
}
.btn-success {
background-color: var(–success-color);
color: var(–white);
}
.btn-success:hover {
background-color: #218838;
}
#results {
margin-top: 30px;
padding: 25px;
background-color: var(–primary-color);
color: var(–white);
border-radius: var(–border-radius);
text-align: center;
box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.1);
}
#results h3 {
color: var(–white);
margin-bottom: 15px;
font-size: 1.8em;
}
#results .main-result {
font-size: 2.5em;
font-weight: bold;
margin-bottom: 10px;
display: inline-block;
padding: 10px 20px;
background-color: rgba(255, 255, 255, 0.2);
border-radius: var(–border-radius);
}
#results .intermediate-values {
font-size: 1.1em;
margin-top: 15px;
opacity: 0.9;
}
#results .intermediate-values span {
margin: 0 15px;
display: inline-block;
}
#results .formula-explanation {
font-size: 0.9em;
margin-top: 20px;
opacity: 0.8;
border-top: 1px solid rgba(255, 255, 255, 0.3);
padding-top: 15px;
}
table {
width: 100%;
border-collapse: collapse;
margin-top: 25px;
margin-bottom: 25px;
box-shadow: var(–box-shadow);
border-radius: var(–border-radius);
overflow: hidden; /* For rounded corners on table */
}
th, td {
padding: 12px 15px;
text-align: left;
border-bottom: 1px solid var(–light-gray);
}
thead th {
background-color: var(–primary-color);
color: var(–white);
font-weight: bold;
}
tbody tr:nth-child(even) {
background-color: var(–background-color);
}
tbody tr:hover {
background-color: var(–light-gray);
}
caption {
font-size: 1.1em;
font-weight: bold;
color: var(–primary-color);
margin-bottom: 10px;
text-align: left;
}
/* Responsive table */
.table-wrapper {
overflow-x: auto;
-webkit-overflow-scrolling: touch;
}
/* Chart styling */
.chart-container {
position: relative;
width: 100%;
max-width: 100%;
margin-top: 25px;
margin-bottom: 25px;
background-color: var(–white);
padding: 20px;
border-radius: var(–border-radius);
box-shadow: var(–box-shadow);
}
canvas {
display: block;
width: 100% !important; /* Ensure canvas respects container width */
height: auto;
max-width: 100%;
}
.chart-caption {
font-size: 1.1em;
font-weight: bold;
color: var(–primary-color);
margin-bottom: 10px;
text-align: left;
}
.article-content {
margin-top: 30px;
padding: 20px;
background-color: var(–white);
border-radius: var(–border-radius);
box-shadow: var(–box-shadow);
}
.article-content h2, .article-content h3 {
margin-top: 25px;
margin-bottom: 15px;
}
.article-content p {
margin-bottom: 15px;
}
.article-content ul, .article-content ol {
margin-bottom: 15px;
padding-left: 25px;
}
.article-content li {
margin-bottom: 8px;
}
.faq-item {
margin-bottom: 15px;
border-left: 3px solid var(–primary-color);
padding-left: 15px;
}
.faq-item strong {
color: var(–primary-color);
display: block;
margin-bottom: 5px;
}
.internal-links-section {
margin-top: 30px;
padding: 20px;
background-color: var(–white);
border-radius: var(–border-radius);
box-shadow: var(–box-shadow);
}
.internal-links-section h3 {
margin-bottom: 15px;
}
.internal-links-section ul {
list-style: none;
padding: 0;
}
.internal-links-section li {
margin-bottom: 10px;
}
.internal-links-section a {
color: var(–primary-color);
text-decoration: none;
font-weight: bold;
}
.internal-links-section a:hover {
text-decoration: underline;
}
.internal-links-section p {
font-size: 0.9em;
color: #6c757d;
margin-top: 5px;
}
/* Utility classes */
.text-center { text-align: center; }
.text-primary { color: var(–primary-color); }
.bg-primary { background-color: var(–primary-color); }
.mb-15 { margin-bottom: 15px; }
.mt-25 { margin-top: 25px; }
.p-20 { padding: 20px; }
.rounded { border-radius: var(–border-radius); }
/* Specific styling for calculator inputs */
.input-group input[type="range"] {
width: 100%;
height: 8px;
cursor: pointer;
background: var(–light-gray);
border-radius: 4px;
appearance: none;
margin-top: 10px;
}
.input-group input[type="range"]::-webkit-slider-thumb {
width: 20px;
height: 20px;
background: var(–primary-color);
border-radius: 50%;
cursor: pointer;
appearance: none;
}
.input-group input[type="range"]::-moz-range-thumb {
width: 20px;
height: 20px;
background: var(–primary-color);
border-radius: 50%;
cursor: pointer;
}
/* Media queries for responsiveness */
@media (max-width: 768px) {
.container {
margin: 10px;
padding: 15px;
}
header h1 {
font-size: 1.8em;
}
#results .main-result {
font-size: 2em;
}
#results .intermediate-values span {
margin: 5px 10px;
display: block;
}
.button-group {
flex-direction: column;
align-items: stretch;
}
.btn {
width: 100%;
}
.chart-container {
padding: 15px;
}
}
Tree Removal Cost Estimator
Estimated Cost Range
$0 – $0
Base Removal Cost: $0
Complexity Factor: 1.0x
Accessibility Factor: 1.0x
Formula: (Base Cost * Complexity Factor * Accessibility Factor) + Additional Services
Cost Breakdown Table
Estimated Cost Components
| Component |
Description |
Estimated Cost |
| Base Removal Cost |
Cost based on tree size and general labor |
$0 |
| Complexity Factor |
Adjustment for tree species difficulty |
1.0x |
| Accessibility Factor |
Adjustment for site access challenges |
1.0x |
| Additional Services |
Stump grinding, hauling, etc. |
$0 |
| Total Estimated Cost |
Sum of all applicable costs |
$0 |
Cost Influencing Factors Chart
Impact of Factors on Base Removal Cost
What is a Large Tree Removal Cost Calculator?
A large tree removal cost calculator is a specialized online tool designed to provide an estimated price range for removing a mature or significantly sized tree from a property. Unlike simple cost estimators, these calculators take into account multiple variables that influence the complexity and labor involved. They are invaluable for homeowners, property managers, and anyone facing the daunting task of removing a large tree, helping them budget effectively and understand the pricing structure.
Who should use it: Anyone needing to remove a large tree (typically over 30-40 feet tall or with a substantial trunk diameter) should use this calculator. This includes homeowners with overgrown or hazardous trees, property developers assessing project costs, and individuals seeking quotes from tree removal services.
Common misconceptions: A frequent misconception is that tree removal cost is solely based on height. In reality, diameter, species, location, accessibility, and required additional services play equally, if not more, significant roles. Another myth is that all tree removal companies charge the same; prices can vary widely based on their experience, insurance, equipment, and local market rates.
Large Tree Removal Cost Calculator Formula and Mathematical Explanation
The core of our large tree removal cost calculator is a multi-factor formula designed to approximate the real-world costs associated with removing a large tree. It breaks down the expense into a base cost, adjusted by complexity and accessibility factors, and then adds any selected additional services.
Formula:
Estimated Total Cost = (Base Removal Cost * Complexity Factor * Accessibility Factor) + Additional Services Cost
Variable Explanations:
- Base Removal Cost: This is the foundational cost, primarily determined by the tree's size (height and diameter) and the general labor involved. Larger trees require more time, specialized equipment (like cranes or bucket trucks), and a larger crew, thus increasing the base cost.
- Complexity Factor: This multiplier adjusts the base cost based on the tree's species and its inherent difficulty to cut and manage. Dense hardwoods or trees with brittle branches might require more careful handling and specialized techniques.
- Accessibility Factor: This multiplier accounts for the challenges in reaching the tree. Trees located on steep slopes, near power lines, close to structures, or in tight urban spaces significantly increase the risk and labor, thus raising the cost.
- Additional Services Cost: This is a fixed or variable cost added for services beyond basic tree cutting and lowering. This includes stump grinding, removal and disposal of debris, and site cleanup or restoration.
Variables Table:
Variables Used in Calculation
| Variable |
Meaning |
Unit |
Typical Range |
| Tree Height |
Vertical measurement of the tree |
Feet |
10 – 200+ |
| Tree Diameter (DBH) |
Trunk diameter measured at 4.5 feet above ground |
Inches |
6 – 72+ |
| Tree Species |
Type of tree, influencing wood density and brittleness |
Categorical (Factor) |
1.0 (Easy) – 1.3 (Difficult) |
| Site Accessibility |
Ease of access for equipment and crew |
Categorical (Factor) |
1.0 (Easy) – 1.6 (Difficult) |
| Additional Services |
Extra services like stump grinding, hauling |
Fixed Cost ($) |
$0 – $1000+ |
| Base Removal Cost |
Calculated cost before factors |
USD ($) |
$300 – $3000+ |
| Complexity Factor |
Multiplier for species difficulty |
Decimal (x) |
1.0 – 1.3 |
| Accessibility Factor |
Multiplier for site access |
Decimal (x) |
1.0 – 1.6 |
| Estimated Total Cost |
Final projected cost |
USD ($) |
$500 – $5000+ |
Practical Examples (Real-World Use Cases)
Understanding the calculator's output is best done through practical examples. These scenarios illustrate how different inputs translate into estimated costs for large tree removal.
Example 1: Standard Removal
Scenario: A homeowner needs to remove a mature 50-foot oak tree with a 24-inch diameter. The tree is in a relatively open backyard with good access for equipment. No additional services are required.
Inputs:
- Tree Height: 50 ft
- Tree Diameter: 24 in
- Tree Species: Hardwood (Oak, Maple) – Factor 1.0
- Site Accessibility: Easy – Factor 1.0
- Additional Services: None – $0
Calculator Output:
- Base Removal Cost: $1200
- Complexity Factor: 1.0x
- Accessibility Factor: 1.0x
- Additional Services Cost: $0
- Estimated Total Cost: $1200 – $1500
Interpretation: This represents a straightforward removal. The base cost is significant due to the tree's size, but the lack of complexity or accessibility issues keeps the final price within a moderate range for large tree removal. The calculator provides a range to account for variations in labor rates and specific company pricing.
Example 2: Complex and Difficult Removal
Scenario: A property owner needs to remove a large, old pine tree (60 ft tall, 30-inch diameter) situated on a steep slope very close to the house and a power line. They also require stump grinding and debris hauling.
Inputs:
- Tree Height: 60 ft
- Tree Diameter: 30 in
- Tree Species: Softwood (Pine, Fir) – Factor 1.2
- Site Accessibility: Difficult (Steep slope, near structures, power lines) – Factor 1.6
- Additional Services: Stump Grinding ($300) + Debris Hauling ($500) = $800
Calculator Output:
- Base Removal Cost: $1800
- Complexity Factor: 1.2x
- Accessibility Factor: 1.6x
- Additional Services Cost: $800
- Estimated Total Cost: $3968 – $4800
Interpretation: This scenario highlights how multiple challenging factors dramatically increase the cost. The high accessibility factor (1.6) is the primary driver, reflecting the increased risk and specialized equipment needed. The additional services further add to the total. The wide range reflects the significant variability in pricing for high-risk, complex jobs.
How to Use This Large Tree Removal Cost Calculator
Using our large tree removal cost calculator is simple and designed to give you a quick, informed estimate. Follow these steps:
- Measure Tree Height: Estimate the tree's height in feet. You can use a tape measure against a known height object or use trigonometry apps if precision is needed.
- Measure Tree Diameter: Measure the tree's circumference at roughly 4.5 feet (breast height) above the ground. Divide the circumference by pi (approximately 3.14) to get the diameter in inches.
- Select Tree Species: Choose the closest match for your tree's species from the dropdown. This helps determine the wood's density and how difficult it might be to cut.
- Assess Site Accessibility: Evaluate how easily a crew and their equipment can access the tree. Consider slopes, proximity to buildings, fences, power lines, and general yard space.
- Choose Additional Services: Select any extra services you require, such as stump grinding, complete debris removal, or site cleanup.
- Calculate: Click the "Calculate Cost" button.
How to read results: The calculator will display a primary estimated cost range (e.g., $1500 – $2000). It also shows key intermediate values like the Base Removal Cost, Complexity Factor, and Accessibility Factor, along with the cost of Additional Services. The formula used is also provided for transparency.
Decision-making guidance: Use the estimated range as a benchmark when getting quotes from professional tree removal services. If your calculated estimate is significantly higher than quotes you receive, ask for a detailed breakdown. If it's much lower, ensure the quotes cover all the factors you entered (especially accessibility and debris removal).
Key Factors That Affect Large Tree Removal Costs
Several critical factors influence the final price you'll pay for large tree removal. Understanding these can help you interpret quotes and the calculator's results more effectively:
- Tree Size (Height & Diameter): This is the most significant factor. Larger trees require more time, larger crews, and heavier-duty equipment (like cranes or bucket trucks), directly increasing labor and operational costs. The sheer volume of wood and branches also impacts disposal fees.
- Tree Species & Condition: Dense hardwoods (like oak) are harder to cut than softwoods (like pine). Brittle trees (like some poplars or willows) pose a higher risk of breaking unexpectedly during removal, requiring more caution and potentially specialized rigging techniques. Diseased or dead trees can be structurally unsound, increasing the danger and complexity.
- Accessibility of the Site: A tree in an open field is far easier and cheaper to remove than one wedged between a house and a fence, near power lines, or on a steep, unstable slope. Difficult access necessitates more time, specialized maneuvering, potentially smaller equipment, and increased risk, all driving up costs.
- Proximity to Structures & Hazards: Removal near buildings, fences, sheds, or overhead power lines requires extreme precision and safety measures. Arborists may need to use climbing techniques or cranes to lower sections of the tree piece by piece, significantly increasing labor and equipment costs.
- Additional Services Required: Basic removal might just involve cutting the tree down. However, most homeowners also need stump grinding (which can be labor-intensive and require specialized machinery), hauling away all the wood and debris (involving trucks and disposal fees), and potentially site cleanup or minor landscaping to repair damage.
- Arborist's Expertise & Insurance: Experienced, certified arborists with comprehensive liability insurance often charge more. However, this investment provides peace of mind, ensuring the job is done safely and correctly, protecting your property and covering potential accidents. Uninsured or less experienced operators may offer lower prices but carry significant risks.
- Location & Local Market Rates: Costs vary geographically. Urban areas with higher costs of living and demand typically have higher service prices than rural areas. Local competition among tree care companies can also influence pricing.
- Time of Year: While less common for large removals, sometimes demand fluctuates seasonally. Emergency removals (e.g., after a storm) might also command premium pricing due to urgency.
Frequently Asked Questions (FAQ)
Q1: How accurate is this large tree removal cost calculator?
A: The calculator provides an estimate based on common industry factors. Actual costs can vary depending on the specific company, their equipment, insurance, local market conditions, and unforeseen challenges encountered on-site. It's best used as a budgeting tool before obtaining formal quotes.
Q2: What is considered a "large" tree for this calculator?
A: Generally, trees over 30-40 feet tall or with a trunk diameter exceeding 12-18 inches are considered large. This calculator is optimized for trees requiring professional equipment and expertise beyond basic DIY capabilities.
Q3: Does the cost include cutting the tree into smaller pieces?
A: The "Base Removal Cost" typically includes felling the tree and lowering sections safely. If you need the wood cut into firewood lengths, this might be considered an additional service or part of the debris hauling process, depending on the company.
Q4: How much does stump grinding typically cost?
A: Stump grinding costs vary based on stump diameter and depth, as well as accessibility. Our calculator includes a representative cost, but it can range from $150 to $500 or more for large stumps.
Q5: Is it cheaper to remove a tree in the winter?
A: Sometimes, yes. In colder climates, winter can offer easier access to yards (frozen ground) and less foliage, potentially making removal slightly more efficient. However, the core costs related to tree size, complexity, and risk remain the primary drivers.
Q6: What if the tree is dead or diseased? Does that make it cheaper?
A: Often, dead or diseased trees are *more* expensive to remove. They can be structurally unsound, increasing the risk of unpredictable breakage during removal. This requires extra safety precautions, specialized rigging, and slower work, driving up costs.
Q7: Do I need a permit to remove a large tree?
A: It depends on your local municipality. Some areas require permits for removing trees over a certain size, especially if they are heritage trees or located in protected zones. Check with your local city or county planning department. Permit fees are not typically included in removal estimates.
Q8: How do I choose a reputable tree removal company?
A: Look for certified arborists (ISA certification), check for proper insurance (liability and worker's compensation), read online reviews, ask for references, and get multiple detailed, written tree service quotes. Ensure they provide a clear contract outlining all services and costs.
Q9: What are the risks of DIY large tree removal?
A: Removing large trees is extremely dangerous and should only be performed by trained professionals. Risks include serious injury or death from falling limbs or the entire tree, severe property damage, and electrocution if near power lines. The cost of professional removal is significantly less than the potential cost of an accident.
Q10: How does inflation affect tree removal costs?
A: Like most services, tree removal costs are subject to inflation. Rising costs for fuel, equipment maintenance, insurance premiums, and labor wages will gradually increase the overall price of tree removal services over time. This calculator uses current typical ranges, but future costs may be higher.
Related Tools and Internal Resources
var baseCostPerFoot = 20; // Base cost per foot of height
var diameterFactor = 5; // Cost multiplier per inch of diameter
var chartInstance = null; // To hold the chart instance
function validateInput(id, min, max, errorMessageId, label) {
var input = document.getElementById(id);
var value = parseFloat(input.value);
var errorDiv = document.getElementById(errorMessageId);
var isValid = true;
errorDiv.innerText = ";
errorDiv.classList.remove('visible');
input.style.borderColor = '#ced4da'; // Reset border color
if (isNaN(value) || value === ") {
errorDiv.innerText = 'This field is required.';
isValid = false;
} else if (value max) {
errorDiv.innerText = label + ' cannot be more than ' + max + '.';
isValid = false;
}
if (!isValid) {
input.style.borderColor = '#dc3545';
}
return isValid;
}
function calculateCost() {
var isValid = true;
// Validate inputs
isValid &= validateInput('treeHeight', 10, 200, 'treeHeightError', 'Tree height');
isValid &= validateInput('treeDiameter', 6, 72, 'treeDiameterError', 'Tree diameter');
if (!isValid) {
return; // Stop calculation if any input is invalid
}
var treeHeight = parseFloat(document.getElementById('treeHeight').value);
var treeDiameter = parseFloat(document.getElementById('treeDiameter').value);
var treeSpeciesFactor = parseFloat(document.getElementById('treeSpecies').value);
var accessibilityFactor = parseFloat(document.getElementById('accessibility').value);
var additionalServicesCost = parseFloat(document.getElementById('additionalServices').value);
// Calculate Base Removal Cost
var baseCost = (treeHeight * baseCostPerFoot) + (treeDiameter * diameterFactor);
baseCost = Math.max(baseCost, 300); // Minimum base cost
// Calculate Total Estimated Cost
var complexityAdjustedCost = baseCost * treeSpeciesFactor;
var finalCostBeforeAddons = complexityAdjustedCost * accessibilityFactor;
var totalEstimatedCost = finalCostBeforeAddons + additionalServicesCost;
// Determine cost range (e.g., +/- 15%)
var lowerBound = totalEstimatedCost * 0.85;
var upperBound = totalEstimatedCost * 1.15;
// Format currency
var formatCurrency = function(amount) {
return '$' + amount.toFixed(2);
};
// Update Results Display
document.getElementById('mainResult').innerText = formatCurrency(lowerBound) + ' – ' + formatCurrency(upperBound);
document.getElementById('baseCost').innerText = formatCurrency(baseCost);
document.getElementById('complexityFactor').innerText = treeSpeciesFactor.toFixed(1) + 'x';
document.getElementById('accessibilityFactor').innerText = accessibilityFactor.toFixed(1) + 'x';
// Update Table Display
document.getElementById('tableBaseCost').innerText = formatCurrency(baseCost);
document.getElementById('tableComplexityFactor').innerText = document.getElementById('treeSpecies').options[document.getElementById('treeSpecies').selectedIndex].text + ' (' + treeSpeciesFactor.toFixed(1) + 'x)';
document.getElementById('tableAccessibilityFactor').innerText = document.getElementById('accessibility').options[document.getElementById('accessibility').selectedIndex].text + ' (' + accessibilityFactor.toFixed(1) + 'x)';
document.getElementById('tableAdditionalServices').innerText = formatCurrency(additionalServicesCost);
document.getElementById('tableTotalCost').innerText = formatCurrency(totalEstimatedCost);
// Update Chart Data
updateChart(baseCost, treeSpeciesFactor, accessibilityFactor, additionalServicesCost);
}
function resetCalculator() {
document.getElementById('treeHeight').value = 50;
document.getElementById('treeDiameter').value = 24;
document.getElementById('treeSpecies').value = '1.0';
document.getElementById('accessibility').value = '1.0';
document.getElementById('additionalServices').value = '0';
// Clear errors
document.getElementById('treeHeightError').innerText = ";
document.getElementById('treeDiameterError').innerText = ";
document.getElementById('treeHeightError').classList.remove('visible');
document.getElementById('treeDiameterError').classList.remove('visible');
document.getElementById('treeHeight').style.borderColor = '#ced4da';
document.getElementById('treeDiameter').style.borderColor = '#ced4da';
// Reset results and table
document.getElementById('mainResult').innerText = '$0 – $0';
document.getElementById('baseCost').innerText = '$0';
document.getElementById('complexityFactor').innerText = '1.0x';
document.getElementById('accessibilityFactor').innerText = '1.0x';
document.getElementById('tableBaseCost').innerText = '$0';
document.getElementById('tableComplexityFactor').innerText = '1.0x';
document.getElementById('tableAccessibilityFactor').innerText = '1.0x';
document.getElementById('tableAdditionalServices').innerText = '$0';
document.getElementById('tableTotalCost').innerText = '$0';
// Reset chart
if (chartInstance) {
chartInstance.destroy();
chartInstance = null;
}
// Re-initialize chart with default values
updateChart(300, 1.0, 1.0, 0);
}
function copyResults() {
var mainResult = document.getElementById('mainResult').innerText;
var baseCost = document.getElementById('baseCost').innerText;
var complexityFactor = document.getElementById('complexityFactor').innerText;
var accessibilityFactor = document.getElementById('accessibilityFactor').innerText;
var additionalServices = document.getElementById('tableAdditionalServices').innerText;
var totalCost = document.getElementById('tableTotalCost').innerText;
var resultsText = "Large Tree Removal Cost Estimate:\n\n";
resultsText += "Estimated Cost Range: " + mainResult + "\n";
resultsText += "Base Removal Cost: " + baseCost + "\n";
resultsText += "Complexity Factor: " + complexityFactor + "\n";
resultsText += "Accessibility Factor: " + accessibilityFactor + "\n";
resultsText += "Additional Services: " + additionalServices + "\n";
resultsText += "Total Estimated Cost (for reference): " + totalCost + "\n\n";
resultsText += "Formula: (Base Cost * Complexity Factor * Accessibility Factor) + Additional Services";
// Use navigator.clipboard for modern browsers
if (navigator.clipboard && window.isSecureContext) {
navigator.clipboard.writeText(resultsText).then(function() {
alert('Results copied to clipboard!');
}).catch(function(err) {
console.error('Failed to copy: ', err);
fallbackCopyTextToClipboard(resultsText);
});
} else {
fallbackCopyTextToClipboard(resultsText);
}
}
function fallbackCopyTextToClipboard(text) {
var textArea = document.createElement("textarea");
textArea.value = text;
textArea.style.position = "fixed"; // Avoid scrolling to bottom
textArea.style.left = "-9999px";
textArea.style.top = "-9999px";
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'successful' : 'unsuccessful';
console.log('Fallback: Copying text command was ' + msg);
alert('Results copied to clipboard!');
} catch (err) {
console.error('Fallback: Oops, unable to copy', err);
alert('Failed to copy results. Please copy manually.');
}
document.body.removeChild(textArea);
}
function updateChart(baseCost, complexityFactor, accessibilityFactor, additionalServicesCost) {
var ctx = document.getElementById('costFactorsChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Calculate individual cost components for the chart
var complexityCost = baseCost * complexityFactor;
var accessibilityCost = complexityCost * accessibilityFactor;
var totalBeforeAddons = accessibilityCost; // This is the cost after factors but before additional services
chartInstance = new Chart(ctx, {
type: 'bar',
data: {
labels: ['Base Cost', 'Complexity Adjustment', 'Accessibility Adjustment', 'Additional Services'],
datasets: [{
label: 'Cost Component ($)',
data: [
baseCost,
complexityCost – baseCost, // Only the increase due to complexity
accessibilityCost – complexityCost, // Only the increase due to accessibility
additionalServicesCost
],
backgroundColor: [
'rgba(0, 74, 153, 0.6)', // Primary color for Base Cost
'rgba(40, 167, 69, 0.6)', // Success color for Complexity
'rgba(255, 193, 7, 0.6)', // Warning color for Accessibility
'rgba(108, 117, 125, 0.6)' // Muted color for Additional Services
],
borderColor: [
'rgba(0, 74, 153, 1)',
'rgba(40, 167, 69, 1)',
'rgba(255, 193, 7, 1)',
'rgba(108, 117, 125, 1)'
],
borderWidth: 1
}]
},
options: {
responsive: true,
maintainAspectRatio: true, // Allow aspect ratio to adjust
scales: {
y: {
beginAtZero: true,
title: {
display: true,
text: 'Cost ($)'
},
ticks: {
callback: function(value) {
return '$' + value.toFixed(0);
}
}
},
x: {
title: {
display: true,
text: 'Cost Component'
}
}
},
plugins: {
legend: {
display: false // Hide legend as labels are clear
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y);
}
return label;
}
}
}
}
}
});
}
// Initial calculation and chart rendering on page load
document.addEventListener('DOMContentLoaded', function() {
calculateCost(); // Perform initial calculation
// Ensure chart is updated with initial values if calculateCost() didn't trigger it
var initialBaseCost = parseFloat(document.getElementById('baseCost').innerText.replace(/[^0-9.-]+/g,"")) || 300;
var initialComplexityFactor = parseFloat(document.getElementById('complexityFactor').innerText.replace(/[^0-9.-]+/g,"")) || 1.0;
var initialAccessibilityFactor = parseFloat(document.getElementById('accessibilityFactor').innerText.replace(/[^0-9.-]+/g,"")) || 1.0;
var initialAdditionalServices = parseFloat(document.getElementById('tableAdditionalServices').innerText.replace(/[^0-9.-]+/g,"")) || 0;
updateChart(initialBaseCost, initialComplexityFactor, initialAccessibilityFactor, initialAdditionalServices);
});
// Add event listeners for real-time updates (optional, but good UX)
document.getElementById('treeHeight').addEventListener('input', calculateCost);
document.getElementById('treeDiameter').addEventListener('input', calculateCost);
document.getElementById('treeSpecies').addEventListener('change', calculateCost);
document.getElementById('accessibility').addEventListener('change', calculateCost);
document.getElementById('additionalServices').addEventListener('change', calculateCost);
// Chart.js library (must be included for the chart to work)
// In a real WordPress environment, you'd enqueue this script properly.
// For this single HTML file, we'll assume it's available or include a placeholder.
// NOTE: For this example, we'll assume Chart.js is available globally.
// If not, you would need to include the Chart.js library CDN link in the .
// Example CDN: