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KNNmap.html
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KNNmap.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Social Data - Project</title>
<script type="text/javascript" src="d3/d3.min.js"></script>
<script src="//d3js.org/queue.v1.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
<style>
label {
border: 1px solid black;
border-radius: 20px;
padding: 3px;
font-size: 12px;
font-weight: bold;
cursor: pointer;
margin-left: 10px;
}
</style>
</head>
<body>
<div id="svg5"></div>
<script>
// Creating radio buttons
var shapeDataKNN = ["5", "10", "30"], j = 0; // Choose K=2 as default
// Create the shape selectors
var formKNN = d3.select("#svg5").append("form");
labels = formKNN.selectAll("label")
.data(shapeDataKNN)
.enter()
.append("label")
.text(function(d) {return "K-Means: " + d;})
.insert("input")
.attr({
type: "checkbox",
class: "shape",
name: "KNN",
onclick: function(d,i ) {return "changeN("+(d[i])+")"; }
})
.property("checked", function(d, i) {return i===j;});
//Width and height
var width = 600;
var height = 600;
// Setting color domains(intervals of values) for our map
var colorKNN = ["#ff0000", "#00ff00", "#0000ff"]
//Create SVG element
var svg5 = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height)
.style("margin", "10px auto")
.style("background-color", "#66B2FF");
var projection = d3.geo.mercator()
.center([-73.985, 40.742])
.scale(20000)
.translate([width/2, height/2]);
var path = d3.geo.path().projection(projection);
//Reading map file and data
queue()
.defer(d3.json, "Data/Project/nycZipCode.geojson")
.defer(d3.csv, "Data/Project/KNNData.csv")
.await(ready);
//Start of Choropleth drawing
function ready(error, map, data) {
var neighbors = 5;
dataset = data.map(function(d) {
return [+d["lon"], +d["lat"], +d["color" + neighbors]];
});
//Drawing Regions
svg5.append("g")
.attr("class", "region")
.selectAll("path")
.data(map.features)
.enter().append("path")
.attr("d", path)
.attr("fill", '#008000')
.attr('stroke',"black")
.attr('stroke-width', "2");
//Drawing Zip Code Text
svg5.append("g").attr("class", "zipCodes")
.selectAll("text")
.data(map.features)
.enter()
.append("text")
.text(function(d) { return d.properties.postalCode; })
.attr("x", function(d) { return path.centroid(d)[0]; })
.attr("y", function(d) { return path.centroid(d)[1]; })
.attr("dominant-baseline", "central")
.attr("text-anchor", "middle")
.attr("font-family", "sans-serif")
.attr("font-size", "3px")
.style("font-weight", "bold")
.style("cursor", "default")
.attr("fill", "#eee9e9");
// Drawing K-Means Num Text
svg5.append("g").attr("class", "KNNText")
.append("text")
.text("KNN: 5")
.attr("id", "neighbors")
.attr("x", 100)
.attr("y", 120)
.attr("dominant-baseline", "central")
.attr("text-anchor", "middle")
.attr("font-family", "sans-serif")
.attr("font-size", "28px")
.style("font-weight", "bold")
.attr("fill", "#ffe4c4");
// Drawing Cluster Points
svg5.append("g")
.selectAll("circle")
.data(dataset)
.enter()
.append("circle")
.attr("cx", function(d) {
return projection([d[0], d[1]])[0];
})
.attr("cy", function(d) {
return projection([d[0], d[1]])[1];
})
.attr("r", 2.5)
.style("fill", function(d) { return colorKNN[d[2]]; })
.style("opacity", "0.75");
};
function changeK(val) {
d3.csv("Data/Project/kMeansData.csv", function(data) {
dataset = data.map(function(d) {
return [+d["color" + val]];
});
svg5.select("#neighbors")
.text("KNN: " + val);
svg5.selectAll("circle")
.data(dataset)
.transition()
.delay(750)
.style("fill", function(d) { return colorKNN[d[2]]; });
});
}
</script>
<script>
$("input:checkbox").on('click', function() {
var $box = $(this);
if ($box.is(":checked")) {
var group = "input:checkbox[name='" + $box.attr("name") + "']"
$(group).prop("checked", false);
$box.prop("checked", true);
} else {
$box.prop("checked", true);
}
});
</script>
</body>
</html>