Pine Weight Calculator

Pine Weight Calculator: Estimate Timber Weight Accurately :root { –primary-color: #004a99; –secondary-color: #f8f9fa; –success-color: #28a745; –error-color: #dc3545; –text-color: #333; –light-gray: #e9ecef; –white: #fff; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–secondary-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-top: 20px; padding-bottom: 40px; } .container { width: 95%; max-width: 1000px; background-color: var(–white); padding: 30px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); margin-bottom: 30px; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.5em; margin-bottom: 30px; } h2 { font-size: 1.8em; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; margin-top: 40px; } h3 { font-size: 1.4em; margin-top: 30px; margin-bottom: 15px; } .loan-calc-container { background-color: var(–white); 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Pine Weight Calculator

Enter the total length of the pine timber in feet.
Enter the width of the pine timber in inches.
Enter the thickness of the pine timber in inches.
Southern Yellow Pine (SYP) Ponderosa Pine White Pine Longleaf Pine (Denser) Red Pine
Select the species of pine, which affects its density.
Typical oven-dry weight is at 0% MC, but wood is usually estimated at 12%.

Estimated Pine Weight

Board Feet:
Density (lbs/cu ft):
Est. Green Weight (lbs):
Est. Oven-Dry Weight (lbs):
Formula: (Volume in board feet * 12) / (1 + Moisture Content % / 100) * (Wood Density lbs/cu ft / 144) – This is a simplified estimation. Actual weight varies greatly.

What is a Pine Weight Calculator?

A **pine weight calculator** is a specialized tool designed to estimate the weight of pine timber based on its dimensions, species, and moisture content. Timber weight is a crucial factor in many industries, including forestry, construction, transportation, and manufacturing. Accurately estimating the weight of pine lumber helps in planning logistics, ensuring structural integrity, calculating material costs, and complying with shipping regulations. This calculator simplifies a complex estimation process, providing quick and reliable figures for various applications.

Who Should Use a Pine Weight Calculator?

A variety of professionals and individuals can benefit from using a **pine weight calculator**:

  • Forestry Professionals: Estimating harvest yields, planning log transport, and assessing timber value.
  • Lumber Yard Operators: Managing inventory, calculating shipping costs, and ensuring accurate load distribution.
  • Construction Companies: Planning structural loads, ordering materials, and budgeting for projects involving pine framing or finishes.
  • Logistics and Transportation Providers: Determining truck capacity, freight costs, and ensuring compliance with weight limits.
  • Woodworkers and Furniture Makers: Estimating material needs, managing workshop inventory, and understanding the density of their materials.
  • Homeowners: Planning DIY projects, estimating the weight of decking or fencing materials, or understanding the components of wooden structures.

Common Misconceptions about Pine Weight

Several common misunderstandings can lead to inaccurate weight estimations:

  • All Pine is the Same: Pine is not a single species but a genus with many varieties (e.g., Southern Yellow Pine, White Pine, Ponderosa Pine), each with different densities.
  • Weight is Constant: The moisture content of wood significantly impacts its weight. Wet lumber is considerably heavier than dry lumber.
  • Dimensions Alone Determine Weight: While critical, dimensions must be combined with density and moisture content for a true weight estimate. A thick, wet piece of dense pine can weigh far more than a thin, dry piece of less dense pine of the same length.
  • Calculators are Perfect: While useful, calculators provide estimates. Actual weight can vary due to natural inconsistencies in wood density, knots, resin content, and specific drying processes.

Pine Weight Calculator Formula and Mathematical Explanation

The calculation of pine timber weight involves several steps, converting raw dimensions into a usable weight estimate. The fundamental principle is to determine the volume of the timber, apply a density factor, and then adjust for moisture content.

Step-by-Step Derivation:

  1. Calculate Volume in Cubic Feet: The dimensions (length, width, thickness) are first used to find the volume in cubic inches, then converted to cubic feet.
  2. Convert to Board Feet: Lumber is often measured in board feet, a unit representing a piece of wood 1 inch thick, 12 inches wide, and 1 foot long (144 cubic inches). The volume in cubic feet is converted to board feet.
  3. Determine Wood Density: Each pine species has an average density, typically expressed in pounds per cubic foot (lbs/cu ft) at a standard moisture content (often oven-dry, 0% MC). This density is adjusted based on the selected species.
  4. Calculate Oven-Dry Weight: The volume in board feet is used to find the weight of the wood if it were completely dry (0% moisture content). This involves relating board feet to cubic feet and then to density.
  5. Adjust for Current Moisture Content: The oven-dry weight is then adjusted upwards to account for the specified moisture content. The formula accounts for the weight of the water within the wood's cellular structure.

Variables Explained:

  • Length (ft): The total length of the timber piece.
  • Width (in): The width of the timber piece.
  • Thickness (in): The thickness of the timber piece.
  • Pine Species: Determines the inherent density of the wood.
  • Moisture Content (%): The percentage of water weight relative to the oven-dry weight of the wood.

Variable Details Table:

Variable Meaning Unit Typical Range/Values
Length Total length of the timber. feet (ft) e.g., 4 to 20+
Width Width of the timber. inches (in) e.g., 2 to 12+
Thickness Thickness of the timber. inches (in) e.g., 1 to 8+
Species Density Approximate weight of wood fiber per cubic foot, often at 0% MC. lbs/cu ft 350 – 550 (varies greatly)
Moisture Content (MC) Water content within the wood cells. % 0% (oven-dry) to 30%+ (green)

The Simplified Formula Used:

The calculator uses a simplified approach:

1. Volume (Board Feet): (Length_ft * Width_in * Thickness_in) / 12

2. Density Adjustment: The selected species' density (lbs/cu ft) is used. Let's call this SpeciesDensity.

3. Green Weight Estimation: Weight (lbs) = Volume_Board_Feet * 12 * (1 + Moisture_Content_Percent / 100) * (SpeciesDensity / 144) *Note: The * 12 converts board feet to cubic inches. (SpeciesDensity / 144) converts density from lbs/cu ft to lbs per board inch per board foot. The (1 + Moisture_Content_Percent / 100) factor adds the weight of water.*

The tool also estimates the Est. Green Weight (lbs) and Est. Oven-Dry Weight (lbs), which is the weight without any moisture.

Practical Examples (Real-World Use Cases)

Here are a couple of scenarios demonstrating how the pine weight calculator is used:

Example 1: Estimating Weight for a Deck Project

A contractor is building a deck using 16-foot-long 2×6 boards (which are actually 1.5 inches thick and 5.5 inches wide) made of common Southern Yellow Pine (SYP). The lumber has been air-dried and is estimated to have a moisture content of 15%.

  • Inputs:
    • Length: 16 ft
    • Width: 5.5 in
    • Thickness: 1.5 in
    • Species: Southern Yellow Pine (Density ~500 lbs/cu ft)
    • Moisture Content: 15%
  • Calculation: The calculator processes these inputs.
    • Volume (Board Feet): (16 * 5.5 * 1.5) / 12 = 11 board feet per 2x6x16 board.
    • Estimated Green Weight: Approximately 38.75 lbs per board.
    • Estimated Oven-Dry Weight: Approximately 33.7 lbs per board.
  • Interpretation: The contractor can use this to estimate the total weight of lumber needed for the deck, informing decisions about transportation (can a standard pickup truck handle the load?) and budgeting for material delivery. If they need 50 such boards, the total weight would be around 1937.5 lbs.

Example 2: Calculating Weight for a Log Transport

A small logging operation needs to estimate the weight of a single log for transport. The log is 12 feet long, has an average diameter of 10 inches (approximated as width for calculation), and is a denser variety like Longleaf Pine. It's freshly cut, so its moisture content is high, around 30%.

  • Inputs:
    • Length: 12 ft
    • Width: 10 in
    • Thickness: 10 in (approximating diameter for volume)
    • Species: Longleaf Pine (Density ~550 lbs/cu ft)
    • Moisture Content: 30%
  • Calculation:
    • Volume (Board Feet): (12 * 10 * 10) / 12 = 100 board feet.
    • Estimated Green Weight: Approximately 209.5 lbs.
    • Estimated Oven-Dry Weight: Approximately 161.1 lbs.
  • Interpretation: This helps the logger understand the weight of individual logs, crucial for determining how many logs can be safely loaded onto a truck or trailer without exceeding weight limits. The significant difference between green and oven-dry weight highlights the impact of moisture.

How to Use This Pine Weight Calculator

Using the **pine weight calculator** is straightforward. Follow these steps to get accurate estimations:

  1. Enter Timber Dimensions: Input the Length in feet, and the Width and Thickness in inches for the pine timber you want to weigh. Be precise with your measurements.
  2. Select Pine Species: Choose the specific species of pine from the dropdown menu. Different species have varying densities, which significantly impacts weight. If unsure, select a common species like "Southern Yellow Pine" or opt for a conservative estimate based on known local varieties.
  3. Specify Moisture Content: Enter the estimated Moisture Content percentage. If you know the wood is freshly cut or "green," use a higher percentage (e.g., 25-30%). For kiln-dried or air-dried lumber, use a lower percentage (e.g., 10-15%). The default value of 12% is a common standard for seasoned lumber.
  4. Calculate: Click the "Calculate Weight" button.

Reading the Results:

  • Primary Result (Estimated Weight): This is the main output, showing the estimated total weight of the timber in pounds (lbs).
  • Intermediate Values:
    • Board Feet: Shows the calculated volume in board feet, a standard unit in the lumber industry.
    • Density (lbs/cu ft): Displays the approximate density of the selected pine species.
    • Est. Green Weight (lbs): The estimated weight of the timber including its current moisture content.
    • Est. Oven-Dry Weight (lbs): The estimated weight of the timber if all moisture were removed. This is useful for comparing the wood fiber's intrinsic weight.
  • Formula Explanation: A brief description of the calculation method is provided for transparency.

Decision-Making Guidance:

Use the calculated weight to make informed decisions regarding:

  • Transportation: Determine if your vehicle can handle the load or calculate shipping costs.
  • Material Handling: Plan for necessary equipment (forklifts, cranes) for lifting heavy timber.
  • Project Budgeting: Accurately estimate material costs, especially when purchasing large quantities.
  • Structural Planning: Ensure that wooden components can safely support intended loads.

Clicking "Copy Results" will copy the primary and intermediate values to your clipboard for easy use elsewhere.

Key Factors That Affect Pine Weight Results

Several variables influence the accuracy of the **pine weight calculator**. Understanding these factors is crucial for obtaining the most reliable estimates:

  1. Pine Species (Density): This is perhaps the most significant factor after dimensions. Denser species like Southern Yellow Pine (SYP) or Longleaf Pine will weigh considerably more per board foot than lighter species like White Pine or Ponderosa Pine. The calculator uses average densities, but regional variations exist.
  2. Moisture Content (MC): Wood is hygroscopic, meaning it absorbs and releases moisture from the surrounding air. Wet lumber is significantly heavier than dry lumber. The difference between green (30%+ MC) and kiln-dried (typically 6-12% MC) can account for 15-30% of the total weight. Accurately estimating MC is vital.
  3. Actual Dimensions vs. Nominal Dimensions: Lumber is often sold using nominal sizes (e.g., a 2×4) which are larger than the actual, finished dimensions (e.g., 1.5 x 3.5 inches). Using the actual dimensions in the calculator will yield more accurate results.
  4. Wood Imperfections (Knots, Checks, Decay): Knots, splits (checks), insect damage, or decay can reduce the overall density and thus the weight of a piece of timber. The calculator assumes uniform density, so heavily compromised wood might weigh less than estimated.
  5. Resin Content: Some pine species, particularly Southern Yellow Pine, can have high resin content. Resin is denser than wood fiber and can add slightly to the overall weight, especially in certain growth conditions.
  6. Temperature: While less significant than moisture, wood density can slightly change with temperature. However, for practical purposes in construction and logistics, this effect is usually negligible compared to moisture and species.
  7. Growth Rings and Grain Pattern: Wood density can vary even within the same species and moisture content based on how the tree grew (e.g., fast-growth rings vs. slow-growth rings, straight grain vs. spiral grain).

Frequently Asked Questions (FAQ)

Q1: What is the standard moisture content assumed for pine lumber?
A1: The standard for kiln-dried lumber is typically between 6% and 12% moisture content (MC). For construction framing, it might be slightly higher, around 15-19%. "Green" lumber, freshly cut, can be 30% MC or higher. The calculator defaults to 12% but allows you to adjust this.
Q2: How accurate is this pine weight calculator?
A2: This calculator provides a good estimate based on standard industry averages for density and a user-inputted moisture content. However, actual weight can vary due to natural inconsistencies in wood, specific drying processes, and regional density variations. For critical applications like heavy transport permits, actual weighing is recommended.
Q3: Can I use this calculator for other types of wood?
A3: While the dimensional calculations are universal, the density values are specific to pine species. For other wood types (e.g., oak, fir, cedar), you would need to input their respective average densities (lbs/cu ft) to get a comparable weight estimate.
Q4: What is the difference between "Green Weight" and "Oven-Dry Weight"?
A4: Green weight is the estimated weight of the wood including all its moisture content. Oven-dry weight is the weight of the wood fiber itself, with all moisture removed. The difference represents the weight of the water within the wood.
Q5: My lumber dimensions are slightly different from standard sizes. How should I input them?
A5: Always use the actual, measured dimensions of the lumber for the most accurate results. For example, if you have a 2×6 board, measure its actual thickness (usually 1.5 inches) and width (usually 5.5 inches), rather than using the nominal size.
Q6: Does the calculator account for treated pine?
A6: No, this calculator does not specifically account for the weight added by wood preservatives used in treated lumber. Treatment processes can add a small amount of weight, but it's usually less significant than the variation due to moisture content and species density.
Q7: Why is Southern Yellow Pine heavier than White Pine?
A7: Southern Yellow Pine species (like Longleaf, Slash, Loblolly, Shortleaf) generally grow in warmer climates and are known for their denser wood structure and higher resin content compared to White Pines (like Eastern White Pine or Ponderosa Pine), which often grow in cooler climates and have lighter, softer wood.
Q8: What are board feet and why are they used?
A8: A board foot is a unit of volume for lumber, equal to a piece of wood 1 inch thick, 12 inches wide, and 1 foot long (144 cubic inches). It's a standard way to measure and price lumber, especially in North America, simplifying calculations across different dimensions.

Related Tools and Internal Resources

function calculatePineWeight() { var length = parseFloat(document.getElementById("length").value); var width = parseFloat(document.getElementById("width").value); var thickness = parseFloat(document.getElementById("thickness").value); var speciesDensity = parseFloat(document.getElementById("species").value); var moistureContent = parseFloat(document.getElementById("moisture").value); var lengthError = document.getElementById("length-error"); var widthError = document.getElementById("width-error"); var thicknessError = document.getElementById("thickness-error"); var moistureError = document.getElementById("moisture-error"); var resultsContainer = document.getElementById("results-container"); // Clear previous errors and results lengthError.textContent = ""; widthError.textContent = ""; thicknessError.textContent = ""; moistureError.textContent = ""; resultsContainer.style.display = "none"; var isValid = true; // Validate inputs if (isNaN(length) || length <= 0) { lengthError.textContent = "Please enter a valid positive length."; isValid = false; } if (isNaN(width) || width <= 0) { widthError.textContent = "Please enter a valid positive width."; isValid = false; } if (isNaN(thickness) || thickness <= 0) { thicknessError.textContent = "Please enter a valid positive thickness."; isValid = false; } if (isNaN(moistureContent) || moistureContent 100) { moistureError.textContent = "Please enter moisture content between 0 and 100%."; isValid = false; } if (!isValid) { return; } // Calculations // Volume in board feet: (Length_ft * Width_in * Thickness_in) / 12 var volumeBoardFeet = (length * width * thickness) / 12; // Density in lbs/cu ft is directly from the select input (speciesDensity) // Est. Green Weight (lbs) // Formula: Volume_Board_Feet * 12 * (1 + Moisture_Content_Percent / 100) * (SpeciesDensity / 144) // Simplified: Volume_Board_Feet * (1 + MC/100) * (SpeciesDensity / 12) // The * 12 converts board feet to cubic inches. (SpeciesDensity / 144) converts density lbs/cu ft to lbs/cubic inch. // So, cubic inches * lbs/cubic inch = lbs. // Correct factor: 1 board foot = 1 * 12 * 1 = 12 cubic inches if thickness is 1 inch. // If thickness is T inches, volume in cubic inches = L * W * T. // Board feet = (L * W * T) / 12. // Volume in cu ft = (L_ft * (W_in/12) * (T_in/12)) // Correct calculation: // Volume in cubic inches = length * (width * 12) * (thickness * 12) – THIS IS WRONG. Length is in feet, width/thickness in inches. // Volume in cubic feet = (length_ft * (width_in / 12) * (thickness_in / 12)) // Volume in cubic feet = length * width * thickness / 144 var volumeCubicFeet = (length * width * thickness) / 144; var estGreenWeight = volumeCubicFeet * speciesDensity * (1 + moistureContent / 100); // Est. Oven-Dry Weight (lbs) var estOvenDryWeight = volumeCubicFeet * speciesDensity; // Display results document.getElementById("primary-result").textContent = estGreenWeight.toFixed(2) + " lbs"; document.getElementById("volume-result").querySelector("span").textContent = volumeBoardFeet.toFixed(2); document.getElementById("density-result").querySelector("span").textContent = speciesDensity.toFixed(0); document.getElementById("green-weight-result").querySelector("span").textContent = estGreenWeight.toFixed(2); document.getElementById("dry-weight-result").querySelector("span").textContent = estOvenDryWeight.toFixed(2); resultsContainer.style.display = "block"; // Update chart updateChart(volumeBoardFeet, estGreenWeight, estOvenDryWeight); } function resetCalculator() { document.getElementById("length").value = "8"; document.getElementById("width").value = "4"; document.getElementById("thickness").value = "2"; document.getElementById("species").value = "500"; // Southern Yellow Pine document.getElementById("moisture").value = "12"; document.getElementById("length-error").textContent = ""; document.getElementById("width-error").textContent = ""; document.getElementById("thickness-error").textContent = ""; document.getElementById("moisture-error").textContent = ""; document.getElementById("results-container").style.display = "none"; // Reset chart to default state or clear it clearChart(); } function copyResults() { var primaryResult = document.getElementById("primary-result").textContent; var volume = document.getElementById("volume-result").querySelector("span").textContent; var density = document.getElementById("density-result").querySelector("span").textContent; var greenWeight = document.getElementById("green-weight-result").querySelector("span").textContent; var dryWeight = document.getElementById("dry-weight-result").querySelector("span").textContent; var length = document.getElementById("length").value; var width = document.getElementById("width").value; var thickness = document.getElementById("thickness").value; var species = document.getElementById("species").selectedOptions[0].text; var moisture = document.getElementById("moisture").value; var resultText = "Pine Weight Calculation Results:\n\n" + "Dimensions: " + length + " ft L x " + width + " in W x " + thickness + " in T\n" + "Species: " + species + "\n" + "Moisture Content: " + moisture + "%\n\n" + "Estimated Green Weight: " + primaryResult + "\n" + "Board Feet: " + volume + "\n" + "Density: " + density + " lbs/cu ft\n" + "Est. Green Weight: " + greenWeight + " lbs\n" + "Est. Oven-Dry Weight: " + dryWeight + " lbs\n\n" + "Calculated using: (Volume in cu ft) * (Species Density) * (1 + MC/100)"; navigator.clipboard.writeText(resultText).then(function() { // Success feedback – optional var copyButton = document.querySelector('.btn-copy'); copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 2000); }).catch(function(err) { console.error('Could not copy text: ', err); // Handle error – optional }); } // Chart related functions var myChart; var chartContext; function initChart() { var chartCanvas = document.getElementById('weightChart'); if (chartCanvas) { chartContext = chartCanvas.getContext('2d'); // Ensure previous chart instance is destroyed if it exists if (window.myChart) { window.myChart.destroy(); } window.myChart = new Chart(chartContext, { type: 'bar', // Changed to bar for clearer comparison of weights data: { labels: ['Est. Green Weight', 'Est. Oven-Dry Weight'], datasets: [{ label: 'Weight (lbs)', data: [0, 0], // Initial data backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // Primary color for green weight 'rgba(40, 167, 69, 0.6)' // Success color for dry weight ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Weight (lbs)' } } }, plugins: { title: { display: true, text: 'Weight Comparison: Green vs. Oven-Dry' }, legend: { display: false // Hide legend as labels are clear } } } }); } } function updateChart(boardFeet, greenWeight, dryWeight) { if (window.myChart && chartContext) { window.myChart.data.datasets[0].data = [greenWeight, dryWeight]; // Optionally update labels if needed, but current ones are fixed // window.myChart.data.labels = ['Est. Green Weight (' + greenWeight.toFixed(0) + ' lbs)', 'Est. Oven-Dry Weight (' + dryWeight.toFixed(0) + ' lbs)']; // Update y-axis max if weights increase significantly, or var it auto-scale window.myChart.options.scales.y.max = Math.max(greenWeight, dryWeight) * 1.1; // Add 10% buffer window.myChart.update(); } else { // If chart hasn't been initialized yet (e.g., first calculation) initChart(); // After initialization, update the data if (window.myChart && chartContext) { window.myChart.data.datasets[0].data = [greenWeight, dryWeight]; window.myChart.options.scales.y.max = Math.max(greenWeight, dryWeight) * 1.1; window.myChart.update(); } } } function clearChart() { if (window.myChart && chartContext) { window.myChart.data.datasets[0].data = [0, 0]; window.myChart.options.scales.y.max = 100; // Reset to a default max window.myChart.update(); } } // Initialize chart when the page loads and after DOM content is ready document.addEventListener('DOMContentLoaded', function() { // Add canvas element dynamically or ensure it exists in HTML var chartContainer = document.querySelector('.chart-container'); if (!document.getElementById('weightChart')) { var canvas = document.createElement('canvas'); canvas.id = 'weightChart'; chartContainer.appendChild(canvas); initChart(); // Initialize after canvas is added } else { initChart(); // Initialize if canvas already exists } // Trigger initial calculation on load if default values are present calculatePineWeight(); });

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