2
我有一个美国县地图,应该在动画中显示14天内各县的水量。我需要以红色(小于50毫米),绿色(大于49毫米和小于100毫米)和蓝色(大于100毫米)显示颜色。我已经改编自麦克·博斯托克和Rich多诺霍以下代码:如何根据数据值将特定颜色应用于D3.js地图?
<style>
.county {
fill:steelblue;
stroke: #fff; /*White*/
stroke-width: .5px;
}
#play, #clock {
position: absolute;
/*top: 15px;*/
}
#play {
/*left: 15px;*/
left: 160px;
top: 140px;
}
#clock {
left: 220px;
top: 148px;
}
<button id="play">Play</button>
<span id="clock">Day</span>
<h1 style="text-align:center">14-Day Water Yield By County</h1>
<div id="svgDiv1" style="text-align:center">
<svg width="960" height="600" stroke-linejoin="round" stroke-linecap="round">
<defs>
<filter id="blur">
<feGaussianBlur stdDeviation="5"></feGaussianBlur>
</filter>
</defs>
</svg>
<script>
//globals
var width, height, projection, path, group, graticule, svg, defs, attributeArray = [], currentAttribute = 0, playing = false;
function init() {
setMap();
animateMap();
}
function setMap() {
svg = d3.select("svg");
defs = svg.select("defs");
path = d3.geoPath();
d3.json("/topo/us-10m.v1.json", function (error, us) {
if (error) throw error;
defs.append("path")
.attr("id", "nation")
.attr("d", path(topojson.feature(us, us.objects.counties)));
svg.append("use")
.attr("xlink:href", "#nation")
.attr("fill-opacity", 0.2)
.attr("filter", "url(#blur)");
svg.append("use")
.attr("xlink:href", "#nation")
.attr("fill", "#fff");
svg.append("path")
.attr("fill", "none")
.attr("stroke", "#777")
.attr("stroke-width", 0.70)
.attr("d", path(topojson.mesh(us, us.objects.counties, function (a, b) { return a !== b; })));
});
loadData(); // let's load our data next
}
function loadData() {
queue() // queue function loads all external data files asynchronously
.defer(d3.json, "/topo/us-10m.v1.json") // our geometries
.defer(d3.csv, "/data/wtryld.csv") // and associated data in csv file
.await(processData); // once all files are loaded, call the processData function passing the loaded objects as arguments
}
function processData(error, us, countyData) {
// function accepts any errors from the queue function as first argument, then
// each data object in the order of chained defer() methods above
if (error) throw error;
//Get values from geojson
var conus = topojson.feature(us, us.objects.counties); // store the path in variable for ease
//Get values from csv file
for (var i in conus.features) { // for each geometry object
for (var j in countyData) { // for each row in the CSV
if (conus.features[i].id == countyData[j].id) { // if they match
for (var k in countyData[i]) { // for each column in the a row within the CSV
if (k != 'id' && k != 'County') { // select only number of days as column headings
if (attributeArray.indexOf(k) == -1) {
attributeArray.push(k); // add new column headings to our array for later
}
conus.features[i].properties[k] = Number(countyData[j][k]) // add each CSV column key/value to geometry object
}
}
break; // stop looking through the CSV since we made our match
}
}
}
d3.select('#clock').html(attributeArray[currentAttribute]); // populate the clock initially with the current day
drawMap(conus); // let's mug the map now with our newly populated data object
}
//Sort function; can specify multiple columns to sort: propSort("STATE", "COUNTY");
function propSort(props) {
if (!props instanceof Array) props = props.split(",");
return function sort(a, b) {
var p;
a = a.properties;
b = b.properties;
for (var i = 0; i < props.length; i++) {
p = props[i];
if (typeof a[p] === "undefined") return -1;
if (a[p] < b[p]) return -1;
if (a[p] > b[p]) return 1;
}
return 0;
};
}
function drawMap(conus) {
svg.selectAll(".feature") // select country objects (which don't exist yet)
.data(conus.features) // bind data to these non-existent objects
.enter().append("path") // prepare data to be appended to paths
.attr("class", "county") // give them a class for styling and access later
.attr("id", function (d) { return d.properties.id; }, true) // give each a unique id for access later
.attr("d", path); // create them using the svg path generator defined above
var dataRange = getDataRange(); // get the min/max values from the current day's range of data values
d3.selectAll('.county') // select all the counties
.attr('fill-opacity', function (d) {
return getColor(d.properties[attributeArray[currentAttribute]], dataRange); // give them an opacity value based on their current value
});
}
function sequenceMap() {
var dataRange = getDataRange(); // get the min/max values from the current year's range of data values
d3.selectAll('.county').transition() //select all the counties and prepare for a transition to new values
.duration(300) // give it a smooth time period for the transition
.attr('fill-opacity', function (d) {
return getColor(d.properties[attributeArray[currentAttribute]], dataRange); // the end color value
})
}
function getColor(valueIn, valuesIn) {
// create a linear scale
var color = d3.scale.linear()
.domain([valuesIn[0], valuesIn[1]]) // input uses min and max values
.range([.3, 1]); // output for opacity between .3 and 1 %
return color(valueIn); // return that number to the caller
}
function getDataRange() {
// function loops through all the data values from the current data attribute
// and returns the min and max values
var min = Infinity, max = -Infinity;
d3.selectAll('.county')
.each(function (d, i) {
var currentValue = d.properties[attributeArray[currentAttribute]];
if (currentValue <= min && currentValue != -99 && currentValue != 'undefined') {
min = currentValue;
}
if (currentValue >= max && currentValue != -99 && currentValue != 'undefined') {
max = currentValue;
}
});
return [min, max];
}
function animateMap() {
var timer; // create timer object
d3.select('#play')
.on('click', function() { // when user clicks the play button
if (playing == false) { // if the map is currently playing
timer = setInterval(function() { // set a JS interval
if (currentAttribute < attributeArray.length - 1) {
currentAttribute += 1; // increment the current attribute counter
} else {
currentAttribute = 0; // or reset it to zero
}
sequenceMap(); // update the representation of the map
d3.select('#clock').html(attributeArray[currentAttribute]); // update the clock
}, 2000);
d3.select(this).html('Stop'); // change the button label to stop
playing = true; // change the status of the animation
} else { // else if is currently playing
clearInterval(timer); // stop the animation by clearing the interval
d3.select(this).html('Play'); // change the button label to play
playing = false; // change the status again
}
});
}
window.onload = init(); // magic starts here
上面的代码适用 “等值线” 的色彩使用填充-opacity。只有不同色调的钢蓝颜色。但我需要应用绿色,蓝色和红色。
感谢任何帮助。
感谢您的回应,安德鲁。我尝试过: var color = d3.scale.linear() .domain([0,160,325] //这些是来自csv文件的最小值,平均值,最大值 .range [“red”,“green” , “蓝色”]); //干,中,湿颜色 我无法使其访问实际的csv文件来读取每日值并根据读取的值应用颜色。因此,点击按钮时不会生成动画。我希望我可以附上我的csv文件,但不知道如何在这个论坛。 – user2770113
需要澄清一些细节。原始脚本是否根据csv值成功修改了县的透明度?如果没有任何动画,您是否可以在绘制它们时最初对县进行着色? –
是的。原始脚本在单击播放按钮并且透明胶片没问题时进行动画制作。此外,初始颜色设置为显示第1天的数据。所以原始脚本正在工作。但我的老板想要颜色,我认为它类似于“热图”,在那里你可以看到随着时间的推移,哪些县有干/湿天的趋势,因此这些地区的农民可以决定是否使用肥料和其他做法需要做。 – user2770113