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2060.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Map and Histogram Visualization with D3 and Leaflet</title>
<script src="https://d3js.org/d3.v6.min.js"></script>
<script src="https://unpkg.com/[email protected]/dist/leaflet.js"></script>
<link rel="stylesheet" href="https://unpkg.com/[email protected]/dist/leaflet.css"/>
<style>
body, html {
height: 100%;
margin: 0;
}
#map {
width: 70%;
height: 100%;
float: left;
background: white;
}
#histogram {
width: 30%;
height: 100%;
float: right;
}
#controls {
margin: 20px;
position: absolute;
z-index: 1000;
background: rgba(255, 255, 255, 0.8);
padding: 10px;
border-radius: 5px;
}
svg {
height: 100%;
width: 100%;
}
button {
padding: 10px 20px;
font-size: 16px;
color: #fff;
background-color: #007BFF;
border: none;
border-radius: 5px;
cursor: pointer;
margin-right: 10px;
}
button:hover {
background-color: #0056b3;
}
</style>
</head>
<body>
<div id="controls">
<label for="metroLayer">顯示 Metro 圖層</label>
<input type="checkbox" id="metroLayer">
<label for="frequencySlider">Minimum Frequency: <span id="frequencyLabel"></span></label>
<input type="range" id="frequencySlider" min="100" max="2000" value="100" step="10">
<button id="loadNewDataset">20mins</button>
<button id="loadOriginalDataset">20~60mins</button>
</div>
<div id="map"></div>
<div id="histogram"></div>
<script>
var map = L.map('map', { preferCanvas: true }).setView([25.08, 121.52], 12);
L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}.png', { maxZoom: 19 }).addTo(map);
var histogramSvg = d3.select("#histogram").append("svg");
var maxValues = {
'cleaned_data.csv': 1000,
'20_data.csv': 5000
};
document.getElementById('loadNewDataset').addEventListener('click', function () {
loadData('20_data.csv');
});
document.getElementById('loadOriginalDataset').addEventListener('click', function () {
loadData('cleaned_data.csv');
});
document.getElementById('frequencySlider').addEventListener('input', function () {
updateVisualizations(currentData,filename);
});
let filename = 'cleaned_data.csv';
loadData('cleaned_data.csv'); // Load original dataset by default
// Checkbox for adding/removing metro geoJSON layer
var metroLayer;
document.getElementById('metroLayer').addEventListener('change', function() {
if (this.checked) {
if (!metroLayer) {
metroLayer = L.geoJSON().addTo(map);
fetch('metro.geojson').then(function(resp) { return resp.json(); }).then(function(data) {
metroLayer.addData(data);
});
} else {
metroLayer.addTo(map);
}
} else {
if (metroLayer) {
map.removeLayer(metroLayer);
}
}
});
function loadData(filename2) {
d3.csv(filename2).then(function (data) {
filename = filename2;
currentData = data;
updateVisualizations(data,filename2);
});
}
function updateVisualizations(data,filename) {
var threshold = document.getElementById('frequencySlider').value;
var filteredData = data.filter(d => +d.Frequency >= threshold);
var maxFrequency = maxValues[filename];
var colorScale = d3.scaleSequential(d3.interpolateInferno).domain([0, maxFrequency]);
var opacityScale = d3.scaleLinear().domain([100, maxFrequency]).range([0.2, 1]);
updateHistogram(filteredData, colorScale, opacityScale, maxFrequency);
updateMapLines(filteredData, colorScale, opacityScale);
}
function updateHistogram(data, colorScale, opacityScale, maxFrequency) {
histogramSvg.selectAll("*").remove();
var xScale = d3.scaleLinear().domain([100, maxFrequency]).range([40, document.getElementById('histogram').clientWidth - 18]);
var bins = d3.histogram().domain(xScale.domain()).thresholds(xScale.ticks(20))(data.map(d => +d.Frequency));
var yScale = d3.scaleLinear().domain([0, d3.max(bins, d => d.length)]).range([document.getElementById('histogram').clientHeight - 40, 20]);
var xAxis = d3.axisBottom(xScale).ticks(5);
var yAxis = d3.axisLeft(yScale).ticks(5);
histogramSvg.append("g").attr("transform", "translate(0," + (document.getElementById('histogram').clientHeight - 40) + ")").call(xAxis);
histogramSvg.append("g").attr("transform", "translate(40,0)").call(yAxis);
histogramSvg.selectAll("rect").data(bins).enter().append("rect")
.attr("x", d => xScale(d.x0))
.attr("y", d => yScale(d.length))
.attr("width", d => Math.max(0, xScale(d.x1) - xScale(d.x0) - 1))
.attr("height", d => yScale(0) - yScale(d.length))
.attr("fill", d => colorScale(d.x0))
.attr("stroke", "#fff")
.attr("stroke-width", 2)
.on("mouseover", function(event, d) {
d3.select(this).attr("fill", "red");
updateMapLines(data.filter(x => x.Frequency >= d.x0 && x.Frequency < d.x1), colorScale, opacityScale); // Highlight map data
})
.on("mouseout", function(event, d) {
d3.select(this).attr("fill", colorScale(d.x0));
updateMapLines(data, colorScale, opacityScale); // Reset map data
});
}
function updateMapLines(data, colorScale, opacityScale) {
map.eachLayer(function (layer) {
if (layer instanceof L.Polyline) {
map.removeLayer(layer);
}
});
data.sort((a, b) => a.Frequency - b.Frequency);
data.forEach(function (d) {
var latlngs = [
[d.Station1_lat, d.Station1_lon],
[d.Station2_lat, d.Station2_lon]
];
var polyline = L.polyline(latlngs, {
color: colorScale(d.Frequency),
weight: 5,
opacity: opacityScale(d.Frequency)
}).addTo(map);
polyline.bindPopup(`站點1: ${d.Station1} <br> 站點2: ${d.Station2} <br> 頻率: ${d.Frequency}`);
});
}
</script>
</body>
</html>