Fish Weight to Length Calculator

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Fish Weight to Length Calculator

Estimate the length of a fish based on its weight and species-specific characteristics.

Fish Measurement Calculator

Enter the weight of the fish. Units: kilograms (kg) or pounds (lbs). Ensure consistency.
Kilograms (kg) Pounds (lbs) Select the unit used for the fish's weight.
A species-specific factor representing body fullness. A higher K means a stockier fish. Default for many common fish is around 3.0. See common K values.

Estimated Fish Length

Length is calculated using a derived formula based on weight and a species-specific factor.

Fish Length vs. Weight for Selected Species

Visualizing the relationship between estimated fish length and weight for different species factors.

Common Fish Species Factors (K)
Species Common K Value Weight Unit Estimated Length (cm) @ 1 kg
Rainbow Trout 3.0 – 3.5 kg ~29-31
Largemouth Bass 2.8 – 3.3 kg ~28-30
Northern Pike 2.5 – 3.0 kg ~32-34
Walleye 2.8 – 3.2 kg ~30-32
Salmon (Atlantic) 3.0 – 3.8 kg ~28-30
Cod (Atlantic) 3.5 – 4.2 kg ~25-27
Herring 1.5 – 2.2 kg ~36-40
Sardine 1.8 – 2.5 kg ~34-37

What is a Fish Weight to Length Calculator?

A fish weight to length calculator is a specialized tool designed to estimate the total length of a fish based on its known weight and a scientifically derived factor unique to its species. This factor, often referred to as the "K" value or condition factor, accounts for the fish's body shape, ranging from slender (like a herring) to very stout (like a large cod or catfish). Anglers, fisheries biologists, and researchers use these calculators to approximate fish dimensions, assess population health, and gauge individual fish condition without needing to directly measure length, especially when dealing with live, released fish or historical data.

This tool is invaluable for understanding fish growth, comparing fish from different environments, and making informed decisions in fisheries management. Misconceptions often arise regarding the universal applicability of a single formula; the fish weight to length calculator emphasizes the crucial role of species-specific morphology represented by the K factor.

Who Should Use It?

  • Anglers: To estimate the size of fish caught and released, or to compare their catches against typical sizes for a given weight.
  • Fisheries Biologists: For stock assessment, estimating biomass, and understanding population dynamics when direct length measurements are not feasible.
  • Aquaculture Professionals: To monitor growth rates and health in farmed fish.
  • Researchers: To analyze ecological studies and fish populations.

Common Misconceptions

  • "All fish of the same weight are the same length." This is false. Body shape (K factor) varies significantly between species.
  • "The calculator provides exact measurements." It provides an estimate based on average species characteristics. Individual variations exist.
  • "Any K value can be used." Using an incorrect K value for a species will lead to inaccurate length estimations.

Fish Weight to Length Calculator Formula and Mathematical Explanation

The relationship between a fish's weight and length is generally considered to be isometric or allometric, meaning weight is proportional to length cubed (L³) for isometric growth, or follows a power law for allometric growth. The formula derived for estimating length from weight, incorporating the species-specific factor (K), is as follows:

Length Estimation Formula

Length = (Weight / K) ^ (1/3) * C

Where:

  • Length is the estimated total length of the fish.
  • Weight is the measured weight of the fish.
  • K is the species-specific condition factor.
  • C is a conversion constant to ensure correct units (typically derived from ensuring consistency when the formula is used to estimate weight from length).

A more practical form, often used in fisheries science, relates weight (W) and length (L) using the equation: W = a * L^b. For many fish species, growth is close to isometric, where 'b' is approximately 3, and 'a' is related to the K factor. A simplified form often used for quick estimation, particularly when 'b' is assumed to be 3, is:

Weight = (K * Length^3) / 100 (if Length is in cm and Weight is in grams)

Rearranging this for length:

Length = ((Weight * 100) / K) ^ (1/3)

To simplify for calculator use and accommodate different units (kg/lbs for weight and cm/inches for length), our calculator uses a derived constant and unit conversions. For this calculator, we use the formula:

Estimated Length (in cm) = (Weight in grams / K) ^ (1/3) * Constant

The `Constant` is derived to ensure compatibility and accuracy, often around 100 if K is based on grams and cm. However, to simplify unit conversion and usage, we adapt it. For our calculator, assuming K is a unitless factor derived from typical empirical data:

Estimated Length (in cm) = (Converted Weight in Grams / K) ^ (1/3) * 100

The calculator handles the conversion from kg/lbs to grams internally. The final output can be adjusted to inches if desired, but cm is standard.

Variable Explanations

Variable Meaning Unit Typical Range/Notes
Weight The measured mass of the fish. Kilograms (kg) or Pounds (lbs) (user input) Positive numerical value.
Weight Unit Unit of measurement for the fish's weight. N/A kg or lbs.
Species Factor (K) A dimensionless coefficient reflecting the fish's body shape and fullness. Higher K values indicate a "fatter" or "stockier" fish for its length. Unitless Typically ranges from 1.5 (slender fish) to 4.5+ (very deep-bodied fish). Common values are around 2.5-3.5.
Estimated Length The calculated total length of the fish. Centimeters (cm) Depends on weight and K factor. Calculated value.

Practical Examples (Real-World Use Cases)

Let's explore how the fish weight to length calculator works with realistic scenarios.

Example 1: Estimating the Length of a Largemouth Bass

An angler catches a hefty Largemouth Bass and wants to estimate its length. They weigh the fish using a portable scale, which reads 4.5 kg. They know Largemouth Bass are relatively deep-bodied fish, and research suggests a K factor between 2.8 and 3.3. They decide to use a K value of 3.0 for this calculation.

  • Input Weight: 4.5 kg
  • Input Weight Unit: Kilograms (kg)
  • Input Species Factor (K): 3.0

Using the calculator:

  • The weight is converted to grams: 4.5 kg * 1000 g/kg = 4500 g.
  • The formula is applied: Length = ((4500 g / 3.0) ^ (1/3)) * 100 ≈ (1500 ^ 0.333) * 100 ≈ 11.447 * 100 ≈ 114.47 cm.

Result: The estimated length of the Largemouth Bass is approximately 114.47 cm. This seems unusually large for a Largemouth Bass, highlighting the importance of using accurate K values. If we used a K value closer to the typical range for bass, say K=3.1:

  • Length = ((4500 g / 3.1) ^ (1/3)) * 100 ≈ (1451.6 ^ 0.333) * 100 ≈ 11.31 * 100 ≈ 113.1 cm. Still very large. Let's re-evaluate the formula interpretation or K value. A common empirical formula is Weight (g) = K * Length (cm)^3. Re-arranging: Length = (Weight/K)^(1/3). Let's re-calculate with common values. If Length = 60 cm (a very large bass), Weight = 3.0 * 60^3 / 100 = 3.0 * 216000 / 100 = 6480 g = 6.48 kg. So a 4.5 kg bass would be smaller. Let's assume the formula implicitly uses a scaling factor for grams vs kg. A more standard approach uses W(g) = a * L(cm)^b. Let's assume the calculator's internal constant handles this.

Let's use a typical bass K value and weight:

  • Input Weight: 2.0 kg
  • Input Weight Unit: Kilograms (kg)
  • Input Species Factor (K): 3.1

Using the calculator:

  • Weight in grams = 2000 g
  • Length = ((2000 g / 3.1) ^ (1/3)) * 100 ≈ (645.16 ^ 0.333) * 100 ≈ 8.64 * 100 ≈ 86.4 cm. Still very long. The "constant" in my derived formula needs adjustment based on the exact empirical relation K is derived from. A common condition factor formula is K = (W * 10^5) / L^3 where W is in kg and L is in cm. Rearranging for L: L = (W * 10^5 / K)^(1/3).

Let's use this revised understanding:

  • Input Weight: 2.0 kg
  • Input Weight Unit: Kilograms (kg)
  • Input Species Factor (K): 3.1

Calculation: L = (2.0 kg * 100000 / 3.1)^(1/3) = (200000 / 3.1)^(1/3) = (64516.1)^(1/3) ≈ 39.0 cm.

Result: The estimated length of the Largemouth Bass is approximately 39.0 cm. This is a much more realistic length for a 2 kg fish, especially a stockier one. This demonstrates the critical importance of the correct K value and formula interpretation.

Example 2: Estimating the Length of a Slender Herring

A fisheries survey nets a school of Herring. One specimen is weighed at 0.3 kg. Herring are known for their slender bodies, with K values typically around 1.5 to 2.2. We'll use K = 1.8.

  • Input Weight: 0.3 kg
  • Input Weight Unit: Kilograms (kg)
  • Input Species Factor (K): 1.8

Using the calculator with the adjusted formula understanding:

  • Calculation: L = (0.3 kg * 100000 / 1.8)^(1/3) = (30000 / 1.8)^(1/3) = (16666.7)^(1/3) ≈ 25.5 cm.

Result: The estimated length of the Herring is approximately 25.5 cm. This length is typical for a herring of that weight, confirming the accuracy when using appropriate species factors.

How to Use This Fish Weight to Length Calculator

Using the fish weight to length calculator is straightforward. Follow these steps to get accurate length estimations:

Step-by-Step Instructions

  1. Measure Fish Weight: Accurately weigh your fish using a reliable scale. Ensure the scale is zeroed and the fish is properly secured.
  2. Select Weight Unit: Choose the unit (kilograms or pounds) that corresponds to your measurement. The calculator will convert it internally if needed.
  3. Determine Species Factor (K): This is the most crucial step. Consult the table provided within the calculator, or reliable fisheries resources, to find the appropriate K value for the specific fish species. If unsure, use a value within the typical range for that species (e.g., 3.0 for many common game fish, lower for slender fish like herring).
  4. Enter Data: Input the measured weight and the selected K value into the corresponding fields in the calculator.
  5. Calculate: Click the "Calculate Length" button.

How to Read Results

The calculator will display:

  • Main Result (Estimated Length): This is the primary output, shown in centimeters (cm), representing the estimated total length of the fish.
  • Intermediate Values: You'll see the weight in grams (or its converted equivalent) and the final calculated length in cm.
  • Formula Explanation: A brief description of the underlying calculation.

Decision-Making Guidance

Use the estimated length for various purposes:

  • Catch and Release: Quickly assess the size of a fish without needing a measuring tape, aiding in responsible angling practices.
  • Fisheries Management: Contribute data to surveys by estimating lengths from weights when direct measurements are impractical.
  • Personal Records: Log your catches with estimated lengths if only the weight was recorded.

Remember that the accuracy heavily relies on the chosen K factor. For precise scientific work, use established K values for the specific subspecies and geographic location if possible.

Key Factors That Affect Fish Weight to Length Results

While the fish weight to length calculator provides a powerful estimation tool, several real-world factors can influence the accuracy of the results. Understanding these variables is key to interpreting the estimations correctly.

  1. Species-Specific Morphology (K Factor Accuracy)

    Financial Reasoning: This is the single most important factor. Different species have inherently different body shapes. A deep-bodied fish like a Cod will weigh more for its length than a slender fish like a Herring. Using an inaccurate K factor directly skews the length estimation. If you use a K value for a slender fish on a stocky fish, the estimated length will be too long, and vice versa. This impacts resource allocation in fisheries management (e.g., estimating biomass).

  2. Fish Condition and Health

    Financial Reasoning: Fish condition can vary significantly due to feeding success, water temperature, spawning cycles, and disease. A well-fed, healthy fish will be "fatter" (higher condition) than a starved or post-spawn fish, even of the same species and length. This means its weight will be higher for its length. The calculator's K factor represents an average condition; significant deviations will impact accuracy.

  3. Age and Life Stage

    Financial Reasoning: Fish growth is not always isometric throughout their life. Young, juvenile fish might have different body proportions compared to mature adults. The K factor is usually an average across adult fish. Estimations for very young or very old fish might be less precise if their growth trajectory deviates significantly from the species average.

  4. Environmental Factors

    Financial Reasoning: Water temperature, salinity, food availability, and water quality all influence a fish's metabolism, feeding patterns, and ultimately its condition. Fish in nutrient-rich environments may be considerably heavier for their length compared to those in less productive waters. This variability affects the reliability of a single K value.

  5. Measurement Accuracy

    Financial Reasoning: Inaccurate weighing (e.g., faulty scales, incorrect zeroing, water clinging to the fish, or incomplete draining) or incorrect unit selection will lead to direct calculation errors. For scientific or commercial purposes, meticulous measurement protocols are essential for reliable data, impacting economic assessments or stock evaluations.

  6. Time of Year (Spawning Cycles)

    Financial Reasoning: Fish often lose significant weight during spawning periods as they expend energy. A female fish carrying eggs or a male releasing milt will also have different weight profiles relative to their length compared to post-spawn or pre-spawn periods. This temporal variation can lead to inaccurate length estimations if not accounted for.

  7. Subspecies and Geographic Variation

    Financial Reasoning: Even within the same species, different populations or subspecies in various geographic locations can exhibit distinct growth patterns and body shapes. A K value derived from a population in one region might not be perfectly applicable to the same species found elsewhere, affecting the precision of the fish weight to length calculator.

Frequently Asked Questions (FAQ)

What is the "K" value in fish calculations?

The "K" value, or condition factor, is a numerical index that describes the "plumpness" or "fullness" of a fish. It's a unitless ratio that compares a fish's actual weight to the weight it would have if it were perfectly streamlined (isometric growth). A higher K value indicates a stockier, heavier fish for its length, while a lower K value indicates a more slender fish.

How accurate is the fish weight to length calculator?

The accuracy depends heavily on the precision of the weight measurement and, most importantly, the appropriateness of the K value used for the specific fish species and its condition. For average conditions and correct K values, estimations can be quite good. However, individual variations in health, age, and environment mean it's an estimate, not an exact measurement.

Can I use this calculator for any fish species?

Yes, you can use the calculator for any fish species, provided you can find or reasonably estimate an appropriate K value for that species. The calculator itself is generic, but its accuracy is tied to the K factor input.

What if I don't know the K value for my fish?

If you don't know the exact K value, you can use the provided table for common species. If your fish isn't listed, try to categorize it as slender (like a pike, K=2.5-3.0), average (like a trout or bass, K=3.0-3.5), or deep-bodied (like a cod, K=3.5-4.2). Using an average value (e.g., 3.0-3.2) will give a general estimate, but accuracy will be reduced.

Why is the K value important?

The K value is crucial because fish weight does not increase linearly with length. It typically increases with the cube of the length (L³). Different species have different 'cube' rates due to body shape. The K value essentially standardizes this relationship, allowing for length estimation from weight across various body types.

Does the calculator provide length in inches?

This calculator primarily outputs length in centimeters (cm), which is a standard unit in ichthyology and fisheries science. You can easily convert cm to inches by multiplying the result by approximately 0.3937.

Can I use weight in pounds directly?

Yes, the calculator has an option to select 'Pounds (lbs)' as the weight unit. It will perform the necessary internal conversion to grams for calculation, ensuring you get an accurate length estimate regardless of your input unit.

What does a high K value mean for a fish?

A high K value (e.g., above 3.5) indicates that the fish is unusually heavy and "fat" or "stocky" for its length compared to the average for its species. This could mean it's well-fed, in good condition, or perhaps has developed very robust musculature or internal mass.

Is the formula used the same for all fish?

The underlying principle relating weight to length cubed is common, but the specific formula and the K value adjustment are applied to account for species-specific differences. The exact constant and formulation can vary slightly in different scientific literature, but the concept of using weight, K, and a cube root remains consistent for estimating length.

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Disclaimer: This calculator provides estimations for informational purposes only. Always consult with a qualified professional for critical assessments.

function validateInput(id, errorId, minValue, maxValue, isRequired = true) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.style.display = 'none'; input.style.borderColor = '#ced4da'; if (isRequired && (input.value.trim() === " || isNaN(value))) { errorDiv.textContent = 'This field is required.'; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } if (!isNaN(value)) { if (minValue !== null && value maxValue) { errorDiv.textContent = 'Value is too high.'; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } } return true; } function calculateFishLength() { var isValidWeight = validateInput('fishWeight', 'fishWeightError', 0, null); var isValidFactor = validateInput('speciesFactor', 'speciesFactorError', 0.1, 10); // K factor typically between 0.1 and 10 if (!isValidWeight || !isValidFactor) { return; } var fishWeight = parseFloat(document.getElementById('fishWeight').value); var weightUnit = document.getElementById('weightUnit').value; var speciesFactor = parseFloat(document.getElementById('speciesFactor').value); var weightInGrams; if (weightUnit === 'lbs') { weightInGrams = fishWeight * 453.592; // Convert lbs to grams } else { // kg weightInGrams = fishWeight * 1000; // Convert kg to grams } // Using the refined formula: L = (W * 10^5 / K)^(1/3) where W is in kg var weightInKg = weightInGrams / 1000; var calculatedLengthCm; if (speciesFactor === 0) { // Avoid division by zero calculatedLengthCm = NaN; } else { calculatedLengthCm = Math.pow((weightInKg * 100000) / speciesFactor, 1 / 3); } var resultDisplay = document.getElementById('result-display'); var mainResult = document.getElementById('main-result'); var convertedWeightSpan = document.getElementById('convertedWeight'); var calculatedLengthSpan = document.getElementById('calculatedLength'); var unitsSpan = document.getElementById('units'); if (isNaN(calculatedLengthCm) || !isFinite(calculatedLengthCm)) { mainResult.textContent = 'Error'; convertedWeightSpan.textContent = "; calculatedLengthSpan.textContent = "; unitsSpan.textContent = "; resultDisplay.style.display = 'block'; return; } // Format results var formattedWeight = fishWeight.toFixed(2) + ' ' + weightUnit; var formattedLength = calculatedLengthCm.toFixed(2); var formattedWeightGrams = weightInGrams.toFixed(2) + ' g'; mainResult.textContent = formattedLength + ' cm'; convertedWeightSpan.textContent = 'Weight: ' + formattedWeightGrams + ' (' + formattedWeight + ')'; calculatedLengthSpan.textContent = 'Estimated Length: ' + formattedLength + ' cm'; unitsSpan.textContent = 'Formula Used: L = (Wkg * 100000 / K)^(1/3)'; resultDisplay.style.display = 'block'; updateChart(speciesFactor); } function resetCalculator() { document.getElementById('fishWeight').value = "; document.getElementById('weightUnit').value = 'kg'; document.getElementById('speciesFactor').value = '3.0'; // Sensible default document.getElementById('fishWeightError').textContent = "; document.getElementById('fishWeightError').style.display = 'none'; document.getElementById('fishWeight').style.borderColor = '#ced4da'; document.getElementById('speciesFactorError').textContent = "; document.getElementById('speciesFactorError').style.display = 'none'; document.getElementById('speciesFactor').style.borderColor = '#ced4da'; document.getElementById('result-display').style.display = 'none'; document.getElementById('main-result').textContent = '–'; document.getElementById('convertedWeight').textContent = "; document.getElementById('calculatedLength').textContent = "; document.getElementById('units').textContent = "; // Reset chart to default view or clear it resetChart(); } function copyResults() { var mainResultText = document.getElementById('main-result').textContent; var convertedWeightText = document.getElementById('convertedWeight').textContent; var calculatedLengthText = document.getElementById('calculatedLength').textContent; var unitsText = document.getElementById('units').textContent; if (mainResultText === '–' || mainResultText === 'Error') { alert("No results to copy yet."); return; } var textToCopy = "Fish Length Estimation:\n"; textToCopy += "——————–\n"; textToCopy += mainResultText + "\n"; textToCopy += convertedWeightText + "\n"; textToCopy += calculatedLengthText + "\n"; textToCopy += unitsText + "\n"; textToCopy += "\nAssumptions:\n"; textToCopy += "Species Factor (K): " + document.getElementById('speciesFactor').value + "\n"; textToCopy += "Weight Unit: " + document.getElementById('weightUnit').value + "\n"; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Async: Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Chart Functionality var fishChart; var chartData = { labels: [], // Weights datasets: [] }; function initializeChart() { var ctx = document.getElementById('fishChart').getContext('2d'); fishChart = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, labelString: 'Weight (kg)' } }, y: { title: { display: true, labelString: 'Estimated Length (cm)' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Estimated Fish Length vs. Weight' } } } }); // Initial chart population with common values populateChartWithDefaults(); } function populateChartWithDefaults() { var defaultWeights = [0.5, 1.0, 2.0, 5.0, 10.0, 20.0]; // kg chartData.labels = defaultWeights; chartData.datasets = [ { label: 'Slender Fish (K=2.0)', data: defaultWeights.map(function(w) { return calculateLengthFromChart(w, 2.0); }), borderColor: 'rgb(75, 192, 192)', tension: 0.1 }, { label: 'Average Fish (K=3.0)', data: defaultWeights.map(function(w) { return calculateLengthFromChart(w, 3.0); }), borderColor: 'rgb(255, 99, 132)', tension: 0.1 }, { label: 'Stocky Fish (K=4.0)', data: defaultWeights.map(function(w) { return calculateLengthFromChart(w, 4.0); }), borderColor: 'rgb(255, 159, 64)', tension: 0.1 } ]; if (fishChart) { fishChart.update(); } } function calculateLengthFromChart(weightKg, kFactor) { if (kFactor === 0) return NaN; return Math.pow((weightKg * 100000) / kFactor, 1 / 3); } function updateChart(currentK) { var defaultWeights = [0.5, 1.0, 2.0, 5.0, 10.0, 20.0]; // kg chartData.labels = defaultWeights; // Rebuild datasets, ensuring currentK's dataset is highlighted or distinct chartData.datasets = [ { label: 'Slender Fish (K=2.0)', data: defaultWeights.map(function(w) { return calculateLengthFromChart(w, 2.0); }), borderColor: 'rgb(75, 192, 192)', tension: 0.1 }, { label: 'Average Fish (K=3.0)', data: defaultWeights.map(function(w) { return calculateLengthFromChart(w, 3.0); }), borderColor: 'rgb(255, 99, 132)', tension: 0.1 }, { label: 'Stocky Fish (K=4.0)', data: defaultWeights.map(function(w) { return calculateLengthFromChart(w, 4.0); }), borderColor: 'rgb(255, 159, 64)', tension: 0.1 } ]; // Add or update the dataset for the current K value var currentKLabel = 'Your Fish (K=' + currentK + ')'; var currentKDatasetIndex = chartData.datasets.findIndex(function(ds) { return ds.label === currentKLabel; }); var currentKData = defaultWeights.map(function(w) { return calculateLengthFromChart(w, currentK); }); if (currentKDatasetIndex === -1) { chartData.datasets.push({ label: currentKLabel, data: currentKData, borderColor: 'rgb(100, 100, 255)', // A distinct color borderWidth: 2, // Thicker line tension: 0.1 }); } else { chartData.datasets[currentKDatasetIndex].data = currentKData; } if (fishChart) { fishChart.update(); } } function resetChart() { populateChartWithDefaults(); // Reset to default view } // Initialize chart on load document.addEventListener('DOMContentLoaded', function() { initializeChart(); // Add event listeners for inputs to update chart in real-time document.getElementById('fishWeight').addEventListener('input', function() { var currentK = parseFloat(document.getElementById('speciesFactor').value); if (!isNaN(currentK)) updateChart(currentK); }); document.getElementById('speciesFactor').addEventListener('input', function() { var currentK = parseFloat(document.getElementById('speciesFactor').value); if (!isNaN(currentK)) updateChart(currentK); }); document.getElementById('weightUnit').addEventListener('change', function() { var currentK = parseFloat(document.getElementById('speciesFactor').value); if (!isNaN(currentK)) updateChart(currentK); }); // FAQ toggles var faqItems = document.querySelectorAll('.faq-item'); faqItems.forEach(function(item) { var question = item.querySelector('.faq-question'); question.addEventListener('click', function() { item.classList.toggle('open'); }); }); }); // Simple Chart.js initialization (needs to be included) // For a production environment, you'd include Chart.js via CDN or npm // For this self-contained HTML, we assume Chart.js is available globally or included via a script tag. // If not, this section would need Chart.js library code or a CDN link. // Example CDN: // For this response, I'm omitting the Chart.js library itself but providing the code that uses it. // Ensure you have Chart.js included in your final HTML file if running this code. // Placeholder for Chart.js library if not included externally if (typeof Chart === 'undefined') { console.warn("Chart.js library not found. Charts will not render."); // A minimal stub to prevent errors if Chart.js is missing window.Chart = function() { this.update = function() { console.log('Chart.js stub: update called'); }; console.log('Chart.js stub: Chart object created'); }; window.Chart.defaults = { controllers: {}, scales: {} }; window.Chart.register = function() {}; } <!– –>

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