我正在尝试在Link之后使用d3 v4在图像上绘制一些坐标。当我试图将坐标传递给投影函数时,它会为某些数据点返回NAN。我从here获得了一些帮助,说明javascript遵循以下纬度和经度约定,但不确定它的工作原理。
这是我的数据格式:
{coordinates: [60, 84],coordinates: [204, 92.4],coordinates: [117, 132.72]}
D3代码:
var el = d3.select('.js-map'),
// 150 DPI image
width = 300,
// 150 DPI image
height = 300;
var thisObj = this;
var projection = d3.geoMercator()
.scale(1)
.translate([0, 0])
console.log('projection', projection);
var path = d3.geoPath()
.projection(projection);
var map = el.append('svg')
.attr('width', width)
.attr('height', height);
map.append('image')
.attr('xlink:href', this.floorMaps[0])
.attr('width', width)
.attr('height', height);
this.floorSensorInfo.forEach((data, index) => {
var lonlat = projection(data.coordinates);
console.log('Longitude Latitude', lonlat);
我可以看到[2.0420352248333655, NaN]
之类的数据输出,并且不确定到底发生了什么。
此外,如果有人可以解释我真的不理解的第一个链接,那真的很有帮助
Exported bounds of raster image
rasterBounds = [[-122.7895, 45.4394], [-122.5015, 45.6039]]
更新:
@Andrew建议绘制法线坐标,因为纬度和经度仅适用于世界地图。所以我现在粘贴了下面的工作代码版本,该版本现在正在图像上绘制点。
var svg = d3.select("body")
.append("svg")
.attr("width",960)
.attr("height",500)
// image width and height in pixels, we don't want to skew this or scale this (then image units aren't straight pixels)
var imageWidth = 300;
var imageHeight = 168;
var color_hash = { 0 : ["apple", "green"],
1 : ["mango", "orange"],
2 : ["cherry", "red"]
}
function scale(coords) {
return [coords[0] * imageWidth / 100, coords[1] * imageHeight / 100];
}
svg.append("image")
.attr("width",imageWidth)
.attr("height",imageHeight)
.attr("x", 0) // could be non-zero, but we would have to shift each circle that many pixels.
.attr("y", 0)
.attr("xlink:href", this.floorMaps[0])
var data = this.floorSensorInfo
// var dataNest = d3.nest()
// .key(function (d) { return d['sensor_name']; })
// .entries(data)
data.forEach(function (d, i) {
svg.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return (d.value)[0]; })
.attr("cy", function(d) { return (d.value)[1]; })
.attr("r", 5)
.style("fill", function(d) {
var color = color_hash[data.indexOf(d)][1]
return color;
})
svg.append('text')
.attr("x", 20+(i)*100) // space legend
.attr("y", imageHeight+20)
// style the legend
.style("stroke", function () { // Add the colours dynamically
return d['color'] = color_hash[data.indexOf(d)][1];
})
//.attr("dy", ".35em")
.text( d.sensor_name);
//.text("jjjjjjj")
})}
答案 0 :(得分:0)
var svg = d3.select("body")
.append("svg")
.attr("width",960)
.attr("height",500)
// image width and height in pixels, we don't want to skew this or scale this (then image units aren't straight pixels)
var imageWidth = 300;
var imageHeight = 168;
var color_hash = { 0 : ["apple", "green"],
1 : ["mango", "orange"],
2 : ["cherry", "red"]
}
function scale(coords) {
return [coords[0] * imageWidth / 100, coords[1] * imageHeight / 100];
}
svg.append("image")
.attr("width",imageWidth)
.attr("height",imageHeight)
.attr("x", 0) // could be non-zero, but we would have to shift each circle that many pixels.
.attr("y", 0)
.attr("xlink:href", this.floorMaps[0])
var data = this.floorSensorInfo
// var dataNest = d3.nest()
// .key(function (d) { return d['sensor_name']; })
// .entries(data)
data.forEach(function (d, i) {
svg.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) { return (d.value)[0]; })
.attr("cy", function(d) { return (d.value)[1]; })
.attr("r", 5)
.style("fill", function(d) {
var color = color_hash[data.indexOf(d)][1]
return color;
})
svg.append('text')
.attr("x", 20+(i)*100) // space legend
.attr("y", imageHeight+20)
// style the legend
.style("stroke", function () { // Add the colours dynamically
return d['color'] = color_hash[data.indexOf(d)][1];
})
//.attr("dy", ".35em")
.text( d.sensor_name);
//.text("jjjjjjj")
})}
javascript d3.js