美好的一天，
Coder，我是d3和json的新手。我想创建一个简单的地图投影，以识别csv文件中保存的每个国家/地区的人口。
我已经创建了地图投影，现在基于我的csv文件中的人口填充国家，我已经存在了将近一周的时间..
在下面的代码中，它可以通过使用圆圈来识别世界的最高或最低人口，但我不喜欢使用圆圈只是因为它可以相互重叠，我想要的只是填充国家绿色，蓝色或红色是最高的，绿色是最低的。
这是我的示例csv文件
country，population，lat，lon 菲律宾，10,13,122 加拿大，2000,60，-95 日本，500,36,138 AFGHANISTAN，200,33,65 中国，2000,35,105
这是我的代码
<!DOCTYPE html>
<meta charset="utf-8">
<style>
path {
fill: silver;
}
div.tooltip {
position: absolute;
text-align: center;
width: 140px;
height: 45px;
padding: 2px;
font: 12px sans-serif;
background: lightsteelblue;
border: 0px;
border-radius: 8px;
pointer-events: none;
z-index:50;
}
.overlay {
fill: none;
pointer-events: all;
}
.state {
fill: #aaa;
}
.county-border,
.state-border {
fill: none;
stroke: #fff;
stroke-linejoin: round;
stroke-linecap: round;
}
.frame {
stroke: #333;
fill: none;
pointer-events: all;
}
.feature {
stroke: #ccc;
}
</style>
<body>
<!--<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://d3js.org/topojson.v1.min.js"></script>-->
<script src="Script/d3.v3.min.js"></script>
<script src="Script/topojson/topojson.js"></script>
<script src="Script/queue-master/queue.min.js"></script>
<script>
// <script src="http://d3js.org/d3.v2.js"></script>
<div id="d"></div>
<script>
var MalwareCountry = [
// "Australia", "Algeria",
//"Brunei", "Cameroon",
"Canada", "Cyprus",
"Philippines", "Manila",
// "United States of America", "Washington D.C",
//"Mexico", "Mexico",
//"New Zealand",
//"Hong Kong",
//"India",
//"Indonesia",
"China","Beijng",
"Japan", "Tokyo",
"Afghanistan"
//"Singapore",
//"South Korea",
//"Taiwan",
//"Thailand",
//"Vietnam",
//"Austria",
//"Belgium",
//"France",
//"Germany",
//"Iran",
//"Ireland",
//"Israel",
//"Italy",
//"Luxembourg",
//"Netherlands",
//"Russia",
//"Saudi Arabia",
//"Spain",
//"Switzerland",
//"Turkey",
//"United Arab Emirates",
//"United Kingdom",
//"Albania",
//"Bosnia and Herzegowina",
//"Crotia",
//"Czech Republic",
//"Hungary",
//"Denmark",
//"Finland",
//"Iceland",
//"Macedonia",
//"Montenegro",
//"Norway",
//"Poland",
//"Romania",
//"Serbia",
//"Slovenia",
//"Slovakia",
//"Sweden",
//"Bulgaria",
//"Malaysia", "Mozambique"
];
var div = d3.select("div")
.append("div")
.attr("class", "tooltip")
.style("opacity", .1);
var coldomain = [50, 150, 350, 750, 1500]
var extcoldomain = [10, 50, 150, 350, 750, 1500]
var legendary_labels = ["< 50", "50+", "150+", "350+", "750+", "> 1500"]
var color = d3.scale.threshold()
// .domain(coldomain)
//.range(["#adfcad", "#ffcb40", "#ffba00", "#ff7d73", "#ff4e40", "#ff1300"]);
var color = d3.scale.category20b()
function getColorForCountry(name){
if (MalwareCountry.indexOf(name) < 0) {
return "#FFFFFF";
//return "#bbb";
}else {
return color();
}
}
var margin = {
top: 0, right: 0,
bottom: 0, left: 0
},
width = 960 - margin.left - margin.right,
height = 480 - margin.top - margin.bottom;
var projection = d3.geo.equirectangular()
.center([0, 5])
.scale(150)
.translate([width / 2, height / 2])
.rotate([0, 0])
.precision(.9);
var path = d3.geo.path()
.projection(projection);
var zoom = d3.behavior.zoom()
.translate(projection.translate())
.scale(projection.scale())
.scaleExtent([height, 10 * height])
.on("zoom", move);
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);
var feature = svg.append("g")
.selectAll(".feature");
svg.append("rect")
.attr("class", "frame")
.attr("width", width)
.attr("height", height);
d3.json("Script/topojson/examples/worldmap-100.json", function(data) {
feature = feature
.data(data.features)
.enter().append("path")
.attr("class", "feature")
.attr("d", path)
.style("fill", function (d) { return getColorForCountry(d.properties.name) });
});
var g = svg.append("g");
d3.csv("data/s.csv", function (error, data) {
var circle = g.selectAll("circle")
.data(feature)
.enter()
.append("circle")
.attr("cx", function (d) { return projection([d.lon, d.lat])[0]; })
.attr("cy", function (d) { return projection([d.lon, d.lat])[1]; })
.attr("r", function (d) { return Math.sqrt(d.population) / 2 })
.style("fill", function (d) {
if (d.population >= 500 && d.population <= 800) {
return "blue"
}
else if (d.population >= 800) {
return "red"
}
else {
return "green"
}
})
})
function move() {
projection.translate(d3.event.translate).scale(d3.event.scale);
feature.attr("d", path);
}
var legend = svg.selectAll("g.legend")
.data(extcoldomain)
.enter().append("g")
.attr("class", "legend");
var ls_w = 20, ls_h = 20;
legend.append("rect")
.attr("x", 20)
.attr("y", function (d, i) { return height - (i * ls_h) - 2 * ls_h; })
.attr("width", ls_w)
.attr("height", ls_h)
.style("fill", function (d, i) { return color(d); })
.style("opacity", 0.8);
legend.append("text")
.attr("x", 50)
.attr("y", function (d, i) { return height - (i * ls_h) - ls_h - 4; })
.text(function (d, i) { return legendary_labels[i]; });
</script>
有什么技巧可以帮助我解决这个问题。
感谢
答案 0 :(得分：2)
据我了解，您希望为不同国家的不同颜色着色。最简单的方法是使用内置的D3色标创建一个色标，所以替换这一行：
var color = d3.scale.threshold()
用这个
var color = d3.scale.category10()
可以找到文档here
然后你只需要使用它来设置相应国家的样式，就像在最后一行一样。这基于索引（i）从比例中获取颜色。
feature = feature.data(data.features)
.enter().append("path")
.attr("class", "feature")
.attr("d", path)
.style("fill", function (d,i) { return color(i) });
答案 1 :(得分：1)
我认为最后一部分应该是以下（使用return）
feature = feature.data(data.features)
.enter().append("path")
.attr("class", "feature")
.attr("d", path)
.style("fill", function (d,i) { return color(i) });