d3js在地圖圖表中打開一個帶有國家ID的新標簽-有解無憂

我正在做這個專案，我有一張地圖。我正在使用 geojson 鏈接來獲取所有地圖的資料。我想要做的是當我單擊任何國家/地區時，將我帶到另一個鏈接，其中包含該特定國家/地區的 ID。我必須使用兩個資料集，一個用于可視化來自 geojson 檔案的地圖，另一個用于我的實際資料。如何在 d3 的一個元素中使用兩個資料集

剪下的代碼如下：

var margin = {
        top: 0,
        right: 0,
        bottom: 0,
        left: 0
    },
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var color = d3.scaleThreshold()
    .domain([10000, 100000, 500000, 1000000, 5000000, 10000000, 50000000, 100000000, 500000000, 1500000000])
    .range(["rgb(247,251,255)", "rgb(222,235,247)", "rgb(198,219,239)", "rgb(158,202,225)", "rgb(107,174,214)", "rgb(66,146,198)", "rgb(33,113,181)", "rgb(8,81,156)", "rgb(8,48,107)", "rgb(3,19,43)"]);

var path = d3.geoPath();

var svg = d3.select("#map")
    .append("svg")
    .attr("width", width)
    .attr("height", height)
    .append('g')
    .attr('class', 'map');

var projection = d3.geoMercator()
    .scale(130)
    .translate([width / 2, height / 1.5]);

var path = d3.geoPath().projection(projection);


var myTable = [{
        "id": "1",
        "name": "China",
        "population": "1330141295"
    },
    {
        "id": "2",
        "name": "India",
        "population": "1173108018"
    },
    {
        "id": "4",
        "name": "United States",
        "population": "310232800"
    },
    {
        "id": "3",
        "name": "Indonesia",
        "population": "242968342"
    },
    {
        "id": "5",
        "name": "Russia",
        "population": "201103330"
    }
];




queue()
         .defer(d3.json, "https://gist.githubusercontent.com/micahstubbs/8e15870eb432a21f0bc4d3d527b2d14f/raw/a45e8709648cafbbf01c78c76dfa53e31087e713/world_countries.json")
    .defer(d3.tsv, "https://gist.githubusercontent.com/micahstubbs/8e15870eb432a21f0bc4d3d527b2d14f/raw/a45e8709648cafbbf01c78c76dfa53e31087e713/world_population.tsv")
    .await(ready);

function ready(error, data, population) {
    var populationById = {};

    population.forEach(function(d) {
        populationById[d.id] =  d.population;
    });
    data.features.forEach(function(d) {
        d.population = populationById[d.id]
    });

    svg.append("g")
        .attr("class", "countries")
        .selectAll("#map")
        .data(data.features)
        .enter().append("path")
        .attr("d", path)
        .style("fill", function(d) {
            return color(populationById[d.id]);
        })
        .style('stroke', 'white')
        .style('stroke-width', 1.5)
        .style("opacity", 0.8)
        .on('click', function (d, i) {
            var win = window.open('https://www.google.com/' d.id , '_blank');
            win.focus();
        })
        
    svg.append("path")
        .datum(topojson.mesh(data.features, function(a, b) {
            return a.id !== b.id;
        }))
        // .datum(topojson.mesh(data.features, function(a, b) { return a !== b; }))
        .attr("class", "names")
        .attr("d", path);
}

    <script src="https://d3js.org/d3.v4.min.js"></script>
    <script src="https://d3js.org/queue.v1.min.js"></script>
    <script src="https://d3js.org/topojson.v1.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3-tip/0.7.0/d3-tip.js"></script>
    
        <div id="map"></div>

注意：onclick 函式現在一切正常，但如果我點擊俄羅斯，它會給我俄羅斯的 geojson 檔案的 id，它是“RUS”，但實際上我需要 myTable 中的 id，它是“5”俄羅斯。

uj5u.com熱心網友回復：

您可以從用于地圖的資料資料中獲取國家/地區名稱，然后在 myTable 變數中查找 ID。

所以，你的活動將是

  .on('click', datum => {
        //Get the name of the country
        console.log(datum.properties.name);
        // Look up id by the name
        data = myTable.find(e => e.name === datum.properties.name)
        console.log(data.id) // here is your country id
        var win = window.open('https://www.google.com/' data.id , '_blank');
        win.focus();
    })

編輯：添加了一個代碼片段，用于列印帶有國家/地區 ID 的 URL。如果你點擊俄羅斯，你應該可以看到它:)

var margin = {
        top: 0,
        right: 0,
        bottom: 0,
        left: 0
    },
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var color = d3.scaleThreshold()
    .domain([10000, 100000, 500000, 1000000, 5000000, 10000000, 50000000, 100000000, 500000000, 1500000000])
    .range(["rgb(247,251,255)", "rgb(222,235,247)", "rgb(198,219,239)", "rgb(158,202,225)", "rgb(107,174,214)", "rgb(66,146,198)", "rgb(33,113,181)", "rgb(8,81,156)", "rgb(8,48,107)", "rgb(3,19,43)"]);

var path = d3.geoPath();

var svg = d3.select("#map")
    .append("svg")
    .attr("width", width)
    .attr("height", height)
    .append('g')
    .attr('class', 'map');

var projection = d3.geoMercator()
    .scale(130)
    .translate([width / 2, height / 1.5]);

var path = d3.geoPath().projection(projection);


var myTable = [{
        "id": "1",
        "name": "China",
        "population": "1330141295"
    },
    {
        "id": "2",
        "name": "India",
        "population": "1173108018"
    },
    {
        "id": "4",
        "name": "United States",
        "population": "310232800"
    },
    {
        "id": "3",
        "name": "Indonesia",
        "population": "242968342"
    },
    {
        "id": "5",
        "name": "Russia",
        "population": "201103330"
    }
];




queue()
         .defer(d3.json, "https://gist.githubusercontent.com/micahstubbs/8e15870eb432a21f0bc4d3d527b2d14f/raw/a45e8709648cafbbf01c78c76dfa53e31087e713/world_countries.json")
    .defer(d3.tsv, "https://gist.githubusercontent.com/micahstubbs/8e15870eb432a21f0bc4d3d527b2d14f/raw/a45e8709648cafbbf01c78c76dfa53e31087e713/world_population.tsv")
    .await(ready);

function ready(error, data, population) {
    var populationById = {};

    population.forEach(function(d) {
        populationById[d.id] =  d.population;
    });
    data.features.forEach(function(d) {
        d.population = populationById[d.id]
    });

    svg.append("g")
        .attr("class", "countries")
        .selectAll("#map")
        .data(data.features)
        .enter().append("path")
        .attr("d", path)
        .style("fill", function(d) {
            return color(populationById[d.id]);
        })
        .style('stroke', 'white')
        .style('stroke-width', 1.5)
        .style("opacity", 0.8)
         .on('click', datum => {
    //Get the name of the country
    console.log(datum.properties.name);
    // Look up id by the name
    data = myTable.find(e => e.name === datum.properties.name)
    console.log('https://www.google.com/' data.id) // here is your country id

})
        
    svg.append("path")
        .datum(topojson.mesh(data.features, function(a, b) {
            return a.id !== b.id;
        }))
        // .datum(topojson.mesh(data.features, function(a, b) { return a !== b; }))
        .attr("class", "names")
        .attr("d", path);
}

    <script src="https://d3js.org/d3.v4.min.js"></script>
    <script src="https://d3js.org/queue.v1.min.js"></script>
    <script src="https://d3js.org/topojson.v1.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3-tip/0.7.0/d3-tip.js"></script>
    
        <div id="map"></div>

轉載請註明出處，本文鏈接：https://www.uj5u.com/gongcheng/326041.html

標籤：javascript 查询 d3.js 数据可视化

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