261 lines
8.2 KiB
JavaScript
261 lines
8.2 KiB
JavaScript
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// rivet
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var filter = { city: 'London', country: null, mode: 'qmprice' };
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filter['countries'] = Array.from(new Set(data.features.map(function (d) { return d['properties']['country'] })));
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rivets.bind(document.getElementById('overlay'), { filter: filter });
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console.log('kekeke')
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function clone(d) {
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return JSON.parse(JSON.stringify(d));
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}
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function percentile(arr, p) {
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if (arr.length === 0) return 0;
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if (typeof p !== 'number') throw new TypeError('p must be a number');
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if (p <= 0) return arr[0];
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if (p >= 1) return arr[arr.length - 1];
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var index = arr.length * p,
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lower = Math.floor(index),
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upper = lower + 1,
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weight = index % 1;
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if (upper >= arr.length) return arr[lower];
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return arr[lower] * (1 - weight) + arr[upper] * weight;
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}
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function update() {
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// close overlay
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var modal = document.getElementById('modal_overlay');
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modal.classList.toggle('modal-open');
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// init heatmap
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heatmap = new HexgridHeatmap(map, "hexgrid-heatmap", "waterway-label");
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heatmap.setIntensity(9); // dunno yet
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heatmap.setSpread(0.05); // dunno yet
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heatmap.setCellDensity(0.5); // small value == bigger hexagons
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heatmap.setPropertyName(filter.mode);
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if (filter.mode === 'qmprice') {
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// if we visualize sqm based data, remove properties where we have no data
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qmDim.filter(function (d) { return d > 0; });
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}
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// set filter
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if (filter.city) {
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cityDim.filterExact(filter.city);
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} else if (filter.country) {
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countryDim.filterExact(filter.country);
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} else {
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alert('nothing loadable');
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}
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filter.count = cityDim.top(Infinity).length;
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var subset = { "type": "FeatureCollection", "features": [] };
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indexDim.top(Infinity).forEach(function (i) {
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subset.features.push(data.features[i.index]);
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});
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loadData(subset);
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}
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function loadData(subset) {
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heatmap.setData(subset);
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var values = subset.features.map(function (d) { return d['properties'][filter.mode] });
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values = values.sort(function (a, b) { return a - b; });
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// setting the color stops, min is at 5th percentile, max at 95percentile
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var min = values[Math.round(values.length * 0.05)];
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var max = values[Math.round(values.length * 0.95)];
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var colorStopsPerc = [
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[0, "rgba(0,185,243,0)"],
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[25, "rgba(0,185,243,0.24)"],
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[60, "rgba(255,223,0,0.3)"],
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[100, "rgba(255,105,0,0.3)"],
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];
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makeLegend(colorStopsPerc, min, max);
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var colorStopsValue = colorStopsPerc.map(function (d) {
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return [min + d[0] * (max - min) / 100, d[1]];
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});
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heatmap.setColorStops(colorStopsValue);
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heatmap.update();
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//get bounding box and zoom to that area
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// we use a 1% percentile since some data can be corrupt
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var longitudes = subset.features.map(function (d) { return d.geometry.coordinates[0]; }).sort(function (a, b) { return a - b; });
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var latitudes = subset.features.map(function (d) { return d.geometry.coordinates[1]; }).sort(function (a, b) { return a - b; });
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var minlng = percentile(longitudes, 0.01);
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var maxlng = percentile(longitudes, 0.99);
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var minlat = percentile(latitudes, 0.01);
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var maxlat = percentile(latitudes, 0.99);
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map.fitBounds([
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[minlng, minlat],
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[maxlng, maxlat]
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]);
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}
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function makeLegend(colorstops, minValue, maxValue) {
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/**
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* colorstops: [[0, 'green'], [100, 'red']]
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* @type {number}
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*/
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var svg_height = 300, svg_width = 70;
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var svg = d3.select('#svg');
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var defs = svg
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.attr('height', svg_height)
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.attr('width', svg_width);
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var linearGradient = svg.append("defs")
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.append("linearGradient")
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.attr("id", "linear-gradient");
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linearGradient
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.attr("x1", "0%")
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.attr("y1", "100%")
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.attr("x2", "0%")
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.attr("y2", "0%");
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svg.append("rect")
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.attr("width", svg_width * 0.4)
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.attr("height", svg_height)
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.attr('rx', 4)
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.style("fill", "url(#linear-gradient)");
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colorstops.forEach(function (d) {
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linearGradient.append("stop")
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.attr("offset", d[0] + "%")
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.attr("stop-color", d[1]);
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});
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var xScale = d3.scaleLinear().range([svg_height - 20, 0]).domain([minValue, maxValue]);
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var xAxis = d3.axisRight(xScale).ticks(5);
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svg.append("g")
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.attr("class", "axis")
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.attr("transform", "translate(" + svg_width / 2 + "," + (10) + ")")
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.call(xAxis);
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}
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// ORIGINAL BLOCK
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mapboxgl.accessToken = 'pk.eyJ1IjoiZGktdG8iLCJhIjoiY2o0bnBoYXcxMW1mNzJ3bDhmc2xiNWttaiJ9.ZccatVk_4shzoAsEUXXecA';
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var map = new mapboxgl.Map({
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container: 'map',
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style: 'mapbox://styles/mapbox/light-v9',
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center: [13.38032, 49.994210],
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zoom: 5
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});
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console.log('ekekek');
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map.on("load", function () {
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var crossData = data.features.map(function (d, i) {
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//clone properties
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var props = clone(d['properties']);
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props['index'] = i;
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return props;
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});
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cf = crossfilter(crossData);
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qmDim = cf.dimension(function (d) { return d.qm; });
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cityDim = cf.dimension(function (d) { return d.city; });
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countryDim = cf.dimension(function (d) { return d.country; });
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rentDim = cf.dimension(function (d) { return d.total_price; });
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roomsDim = cf.dimension(function (d) { return d.rooms; });
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urlDim = cf.dimension(function (d) { return d.url; });
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indexDim = cf.dimension(function (d) { return d.index; });
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});
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map.on('click', (e) => {
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// {
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// lngLat: {
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// lng: 40.203,
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// lat: -74.451
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// },
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// originalEvent: {...},
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// point: {
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// x: 266,
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// y: 464
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// },
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// target: {...},
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// type: "click"
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// }
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openListingsDialog(e.lngLat.lng, e.lngLat.lat);
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});
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function openListingsDialog(longtitude, latitude) {
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const searchBuffer = 0.001 // ~100m
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const properties = heatmap._tree.search({
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minX: longtitude - searchBuffer,
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maxX: longtitude + searchBuffer,
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minY: latitude - searchBuffer,
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maxY: latitude + searchBuffer
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})
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const html = getListingDialogHTML(properties);
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if (properties.length > 0) {
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new mapboxgl.Popup()
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.setLngLat([longtitude, latitude])
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.setHTML(html)
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.setMaxWidth("500px")
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.addTo(map);
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}
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}
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function getListingDialogHTML(properties) {
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let listinHTMLs = [];
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for (let property of properties) {
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listinHTMLs.push(getPropertyHTML(property));
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}
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// separate them with a line
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const result = listinHTMLs.join('<hr>');
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const styledResult = `
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<div class="scrollable-panel">
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${result}
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</div>
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`
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return styledResult;
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}
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function getPropertyHTML(property) {
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const priceHistoryHTMLs = property.properties.price_history.map((d) => {
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return `<li>${d.last_seen.split('T')[0]}: £${d.price}</li>`;
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});
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let priceHistoryHTML = '';
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if (priceHistoryHTMLs.length > 1) {
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priceHistoryHTML = `
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<strong>Price history:</strong>
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<ul>
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${priceHistoryHTMLs.join('')}
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</ul>
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<br />
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`
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}
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const lastSeenStr = property.properties.last_seen.split('T')[0];
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const lastSeenDays = Math.round((new Date() - new Date(lastSeenStr)) / (1000 * 60 * 60 * 24));
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return `
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<div>
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<img src="${property.properties.photo_thumbnail}" style="width:100%; height:auto;">
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<p>
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<strong>Available from:</strong> ${property.properties.available_from}
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<br />
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<strong>Price:</strong> £${property.properties.total_price}
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<br />
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${priceHistoryHTML}
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<strong>Rooms:</strong> ${property.properties.rooms}
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<br />
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<strong>Area:</strong> ${property.properties.qm} m²
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<br />
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<strong>Price per area:</strong> £${property.properties.qmprice}/m²
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<br />
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<strong>Last seen:</strong> ${lastSeenDays} days ago
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<br />
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<strong>Agency:</strong> ${property.properties.agency}
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<br />
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<a href="${property.properties.url}" target="_blank">View Listing</a>
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</p>
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</div>
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`;
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}
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