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Created March 19, 2020 23:36
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New Zealand Sheep Density
Raw
README.md

New Zealand Sheep Density

Background

One of the many things New Zealand is famous for is their sheep. We show sheep density (sheep per square km) by region, as well as changes in sheep density over time.

Interactivity

  • By hovering over the regions on the map, the bar plot will show the sheep density over time for the specific region
  • By hovering over a bar on the chart, the map colors will change for the specified year

Data

Raw data from the New Zealand Ministry for the Environment can be found HERE. We focus on sheep, the years 2002-2015, and find the density by scaling the total count by land area (taken Wikipedia ).

Raw
index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>NZ Sheep Density</title>
<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
<style type="text/css">
body {
background-color: steelblue;
}
svg {
background-color: steelblue;
}
#container {
width: 1200px;
margin: 0px auto 0px auto;
background-color: steelblue;
padding
}
.totalContainer {
/* Place the map and barplot containers side-by-side */
display: inline-block;
width: 49%;
}
path {
stroke: lightgray;
}
.description {
fill:navy;
font-family: helvetica;
}
.highlight {
fill: lightgray;
}
.yeartitle {
fill: white;
font-family: helvetica;
font-size: 28px;
font-weight: bold;
}
.axis--x path,
.axis--x line {
fill: none;
stroke: none;
}
.axis--x text {
fill: white;
font-family: helvetica;
font-size: 11px;
font-weight:bold;
}
.axis--y path,
.axis--y line {
fill: none;
stroke: lightgray;
}
.axis--y text {
fill: white;
font-family: helvetica;
font-size: 11px;
font-weight:bold;
}
.label {
fill:white;
font-family: helvetica;
}
.chartTitle {
fill:white;
font-family: helvetica;
font-weight: bold;
font-size: 18px;
}
</style>
</head>
<body>
<div id=container>
<div class="totalContainer" id="mapContainer"></div>
<div class="totalContainer" id="bargraphContainer"></div>
</div>
<script type="text/javascript">
//Width and height of containers
var w = d3.select(".totalContainer").node().clientWidth;
var h = 800;
//height of bargraph and padding
var h_bar = h/2;
var padding = 60;
var bottompadding =150;
//Color Scale
var color = d3.scale.quantize()
.domain([ 1, 310])
.range(['#edf8e9','#c7e9c0','#a1d99b','#74c476','#41ab5d','#238b45','#005a32']); //ColorBrewer: Green/Sequential/n=7
//Define Projection
var projection = d3.geo.mercator()
.center([ 172.5, -41 ])
.translate([ w/2, h/2 ])
.scale([ h*3 ]);
//Define path generator
var path = d3.geo.path()
.projection(projection);
//---------------------------------------------------------------------------------------------------------//
// Load Data
//---------------------------------------------------------------------------------------------------------//
//Load in sheep data (by region)
d3.csv("sheepdat.csv", function(data) {
//Load in sheep data (total)
d3.csv("sheepdattotal.csv", function(totaldata) {
//Load in GeoJSON data
d3.json("NZL_adm1.json", function(json) {
//---------------------------------------------------------------------------------------------------------//
// Make Map
//---------------------------------------------------------------------------------------------------------//
//Merge the regional sheep data and GeoJSON into a single array
//
//Loop through once for each sheep data entry
for (var i = 0; i < data.length; i++) {
//Grab region name
var dataRegionCode = data[i].region;
//Grab year
var currentyear = +data[i].year;
//Grab density value
var dataValue = +data[i].density;
//Restrict to 2015 (default year for map)
if (currentyear == 2015){
//Find the corresponding region inside the GeoJSON
for (var j = 0; j < json.features.length; j++) {
//We'll check if the json region name matches csv region name
var jsonRegionCode = json.features[j].properties.NAME_1;
if (dataRegionCode == jsonRegionCode) {
//Copy the density value into the GeoJSON
json.features[j].properties.sheepdensity = dataValue;
//Stop looking through the JSON
break;
}
}
}
}
//Create SVG element for map
var svg = d3.select("#mapContainer")
.append("svg")
.attr("id", "map")
.attr("width", w)
.attr("height", h);
//Create groups
var groups = svg.selectAll("g")
.attr("id","graphsgroup");
//Bind data and create one path per GeoJSON feature
var regions = groups.data(json.features)
.enter()
.append("path")
.attr("d", path)
.attr("fill", function(d) {
return color(d.properties.sheepdensity);
})
.attr("opacity",0) //Start hidden for initial transition in
//Make mouseover (affecting both charts)
.on("mouseover",function(d){
//highlight the region on the map
d3.select(this)
.classed("highlight",true);
//define variable for selected region name
var thisName = d.properties.NAME_1 ;
//Dim the bars for national average
totalbars.transition()
.duration(500)
.attr("opacity",.2);
//hide title with (National Average)
figuretitle.transition()
.attr("opacity",0);
//show title with correct region name
regiontext.filter(function(d){
if (thisName == d.properties.NAME_1) {
return true;
}
})
.transition()
.attr("opacity",1);
//Show barplot for specified region
barplots.filter(function(d) {
if (thisName == d.region) {
return true; //…then it's a match
}
})
.transition()
.duration(500)
.delay(function(d,i){return i*20;})
.attr("opacity",.8); //don't give full opacity so can still see national average
})
//Put everything back to default on mouseout
.on("mouseout", function(d) {
//remove highlighted region
d3.select(this)
.classed("highlight",false);
//bring back national average bars
totalbars.transition()
.duration(500)
.attr("opacity",1);
//bring back original figure title
figuretitle.transition()
.attr("opacity",1);
//hide region specific title
regiontext.transition()
.attr("opacity",0);
//hide region specific bars
barplots.transition()
.attr("opacity",0);
});
//Add year next to map
yeartext = groups.data(totaldata)
.enter()
.append("text")
.attr("class","yeartitle")
.attr("text-anchor","left")
.attr("x",2*padding)
.attr("y",h-h_bar-padding)
.text(function(d){
return d.year;
})
.attr("opacity",0); //hide at first so will transition in
//Create Legend for colors
//define range of values for each color
var legenddat = color.range().map(function(d) {
d = color.invertExtent(d);
if (d[0] == null) d[0] = x.domain()[0];
if (d[1] == null) d[1] = x.domain()[1];
return d;
});
var squarewidth = 30
//create group
var key = svg.selectAll("g")
.data(legenddat)
.enter()
.append("g")
//make rectangles
var keysquares = key.append("rect")
.attr("x",function(d,i){
return w/2 +squarewidth*i;
})
.attr("y", h - bottompadding)
.attr("width",squarewidth)
.attr("height",squarewidth)
.attr("fill",function(d,i){
return ['#edf8e9','#c7e9c0','#a1d99b','#74c476','#41ab5d','#238b45','#005a32'][i];
})
.attr("opacity",0);
//add labels
var keytext = key.append("text")
.attr("x",function(d,i){
return w/2 +squarewidth*i;
})
.attr("y", h - bottompadding - 3)
.text(function(d,i){
return "< " + d3.format(".0f")(+d[1]);
})
.attr("font-size",10)
.attr("font-family","helvetica")
.attr("fill","white")
.attr("opacity",0);
//---------------------------------------------------------------------------------------------------------//
//Create Bar graphs
//---------------------------------------------------------------------------------------------------------//
//Create SVG for bar graph
var svg = d3.select("#bargraphContainer")
.append("svg")
.attr("id", "map")
.attr("width", w)
.attr("height", h);
//create groups
var groups = svg.selectAll("g")
.attr("id","graphsgroup");
//Define x scale
//get list of years
var xdomain = []
for (var i = d3.min(data,function(d){
return d.year;
});
i <= d3.max(data,function(d){
return d.year;}
);
i++) {
xdomain.push(i.toString());
}
//define scale
var xScale = d3.scale.ordinal()
.domain( xdomain)
.rangeRoundBands([ padding, w - padding ], 0.08);
//define y scale
var yScale = d3.scale.linear()
.domain([ 0, 320 ])
.rangeRound([ h - bottompadding, h - bottompadding - h_bar ]);
//Add Bars for Region (hidden until mouseover region on map)
var barplots = groups.data(data) //use "data" because region specific csv
.enter()
.append("rect")
.attr("x", function(d) {
return xScale(d.year);
})
.attr("y", function(d) {
return yScale(d.density);
})
.attr("width", xScale.rangeBand())
.attr("height", function(d){
return h - bottompadding - yScale(d.density);
})
.attr("fill","white")
.attr("opacity",0);
//Add Bars for National Average (show by default)
var totalbars = groups.data(totaldata) //use "totaldata" because national average csv
.enter()
.append("rect")
.attr("x", function(d) {
return xScale(d.year);
})
.attr("y", function(d) {
return h-bottompadding;
})
.attr("width", xScale.rangeBand())
.attr("height", function(d){
return 0;
})
.attr("fill", function(d){
return color(d.density);
})
.attr("opacity",0) //hide at first so can transition in
//Create mouseover to highlight bars and change year being displayed on map
.on("mouseover",function(d){
//highlight selected bar
d3.select(this)
.classed("highlight",true);
//define year selected
var thisyear = d.year;
//Change year shown next to map
yeartext.transition()
.attr("opacity",function(d){
if(d.year==thisyear){
return 1;
}else{
return 0;
}
});
//Change Map colors based on year (use similar loop as before but change 2015 to selected year)
//Loop through once for each data entry
for (var i = 0; i < data.length; i++) {
//Grab region name
var dataRegionCode = data[i].region;
//Grab year
var currentyear = +data[i].year;
//Grab density value
var dataValue = +data[i].density;
//Restrict to year highlighted on barplot ---This is what differs in the loop from the original selection!
if (currentyear == d.year){
//Find the corresponding region inside the GeoJSON
for (var j = 0; j < json.features.length; j++) {
//Check if region from json matches region from csv
var jsonRegionCode = json.features[j].properties.NAME_1;
if (dataRegionCode == jsonRegionCode) {
//Copy the data value into the GeoJSON
json.features[j].properties.sheepdensity = dataValue;
//Stop looking through the JSON
break;
}
}
}
}
//Change region colors with updated values
regions.transition()
.attr("fill", function(d) {
return color(d.properties.sheepdensity);
});
})
//Return to default (2015) on mouseout
.on("mouseout",function(d){
//remove highlight
d3.select(this)
.classed("highlight",false);
//change year back
yeartext.transition()
.attr("opacity",function(d){
if(d.year==2015){
return 1;
} else {
return 0;
}
});
//Change Map colors back to 2015
//same as original loop
for (var i = 0; i < data.length; i++) {
var dataRegionCode = data[i].region;
var currentyear = +data[i].year;
var dataValue = +data[i].density;
if (currentyear == 2015){
for (var j = 0; j < json.features.length; j++) {
var jsonRegionCode = json.features[j].properties.NAME_1;
if (dataRegionCode == jsonRegionCode) {
json.features[j].properties.sheepdensity = dataValue;
break;
}
}
}
}
//update colors again
regions.transition()
.attr("fill", function(d) {
return color(d.properties.sheepdensity);
})
});
//Add x axis
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom")
.ticks(14);
var xAx = svg.append("g")
.attr("class", "axis--x")
.attr("transform", "translate(0," + (h - bottompadding) + ")")
.attr("opacity",0) //hide before initial transition in
.call(xAxis);
//Create y axis
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.ticks(5);
var yAx = svg.append("g")
.attr("class", "axis--y")
.attr("transform", "translate(" + padding + ",0)")
.attr("opacity",0) //hide before initial transition in
.call(yAxis);
//Create y axis label
var ylabel = svg.append("text")
.attr("class","label")
.attr("text-anchor","middle")
.text("sheep per square km ")
.attr("transform","translate(" + padding/3 +","+ h*.6 +") rotate(-90)" )
.attr("opacity",0); //hide before initial transition in
//Create Figure Title
var figuretitle = svg.append("text")
.attr("class","chartTitle")
.attr("x",2*padding)
.attr("y",h-h_bar-bottompadding)
.attr("text-anchor","left")
.text("Sheep Density (National Average)")
.attr("opacity",0); //hide before initial transition in
//Create Text for Region (hidden until mouseover on map)
var regiontext = groups.data(json.features)
.enter()
.append("text")
.attr("class","chartTitle")
.attr("text-anchor","left")
.attr("x",2*padding)
.attr("y",h-h_bar-bottompadding)
.text(function(d){
return "Sheep Density ("+d.properties.NAME_1+" Region)";
})
.attr("opacity",0);
//Add text descriptions
svg.append("text")
.attr("class","description")
.attr("x",padding)
.attr("y",bottompadding/3)
.text("Interactivity:")
.attr("opacity",0)
.attr("font-weight","bold")
.transition()
.delay(1000)
.duration(1500)
.attr("opacity",1);
svg.append("text")
.attr("class","description")
.attr("x",padding)
.attr("y",bottompadding/3+20)
.text("Hovering over a region on the map will show region-specific changes ")
.attr("opacity",0)
.transition()
.delay(1000)
.duration(1500)
.attr("opacity",1);
svg.append("text")
.attr("class","description")
.attr("x",padding)
.attr("y",bottompadding/3+40)
.text("in sheep density over time in the barplot. Hovering over the barplot will ")
.attr("opacity",0)
.transition()
.delay(1000)
.duration(1500)
.attr("opacity",1);
svg.append("text")
.attr("class","description")
.attr("x",padding)
.attr("y",bottompadding/3+60)
.text("update the map to show the year highlighted.")
.attr("opacity",0)
.transition()
.delay(1000)
.duration(1500)
.attr("opacity",1);
//---------------------------------------------------------------------------------------------------------//
// Add initial fade in for each element - start all blue, then show map, then rest of details
//---------------------------------------------------------------------------------------------------------//
//map
regions.transition()
.duration(1500)
.attr("opacity",1)
.attr("stroke","gray");
//year on side of map
yeartext.transition()
.duration(1500)
.delay(1000)
.attr("opacity",function(d){
if(d.year==2015){
return 1;
} else {
return 0;
}
});
//Map Key
keysquares.transition()
.duration(1500)
.delay(1000)
.attr("opacity",1);
keytext.transition()
.duration(1500)
.delay(1000)
.attr("opacity",1);
//bar plot
totalbars.transition()
.duration(1500)
.delay(function(d,i){
return 1000 +30*i;
})
.attr("y", function(d) {
return yScale(d.density);
})
.attr("height", function(d){
return h - bottompadding - yScale(d.density);
})
.attr("opacity",1);
//barplot title
figuretitle.transition()
.duration(1500)
.delay(1000)
.attr("opacity",1);
//y axis label
ylabel.transition()
.duration(1500)
.delay(1000)
.attr("opacity",1);
//y axis
yAx.transition()
.duration(1500)
.delay(1000)
.attr("opacity",1);
//x axis
xAx.transition()
.duration(1500)
.delay(1000)
.attr("opacity",1);
}); // end json
}); //end csv
}); // end csv
</script>
</body>
</html>
Display the source blob
Display the rendered blob
Raw
NZL_adm1.json
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Raw
sheepdat.csv
region totalsheep density year
Northland 522189 42 2002
Northland 530059 42 2003
Northland 494357 40 2004
Northland 556734 45 2005
Northland 525830 42 2006
Northland 534452 43 2007
Northland 504286 40 2008
Northland 429401 34 2009
Northland 430740 34 2010
Northland 400480 32 2011
Northland 440955 35 2012
Northland 427281 34 2013
Northland 331251 27 2014
Northland 381256 31 2015
Auckland 368217 75 2002
Auckland 361345 73 2003
Auckland 325188 66 2004
Auckland 318201 64 2005
Auckland 293760 59 2006
Auckland 287589 58 2007
Auckland 264979 54 2008
Auckland 257248 52 2009
Auckland 235414 48 2010
Auckland 219952 45 2011
Auckland 205270 42 2012
Auckland 212437 43 2013
Auckland 215932 44 2014
Auckland 240830 49 2015
Waikato 2592399 108 2002
Waikato 2409128 101 2003
Waikato 2457368 103 2004
Waikato 2555163 107 2005
Waikato 2706984 113 2006
Waikato 2660145 111 2007
Waikato 2168673 91 2008
Waikato 2101906 88 2009
Waikato 1982414 83 2010
Waikato 1838297 77 2011
Waikato 1776544 74 2012
Waikato 1926059 81 2013
Waikato 1699244 71 2014
Waikato 1646010 69 2015
Bay of Plenty 415379 34 2002
Bay of Plenty 355785 29 2003
Bay of Plenty 409095 34 2004
Bay of Plenty 356859 30 2005
Bay of Plenty 382419 32 2006
Bay of Plenty 385373 32 2007
Bay of Plenty 346445 29 2008
Bay of Plenty 331049 27 2009
Bay of Plenty 347973 29 2010
Bay of Plenty 284954 24 2011
Bay of Plenty 322882 27 2012
Bay of Plenty 312593 26 2013
Bay of Plenty 250299 21 2014
Bay of Plenty 302986 25 2015
Gisborne 1679377 200 2002
Gisborne 1869777 223 2003
Gisborne 1847723 220 2004
Gisborne 1717266 205 2005
Gisborne 1833833 219 2006
Gisborne 1825496 218 2007
Gisborne 1679670 200 2008
Gisborne 1548344 185 2009
Gisborne 1589785 190 2010
Gisborne 1517015 181 2011
Gisborne 1547294 185 2012
Gisborne 1503378 179 2013
Gisborne 1602270 191 2014
Gisborne 1472423 176 2015
Hawke's Bay 3788684 268 2002
Hawke's Bay 3922729 277 2003
Hawke's Bay 4305819 305 2004
Hawke's Bay 4070230 288 2005
Hawke's Bay 4226620 299 2006
Hawke's Bay 3624018 256 2007
Hawke's Bay 3690843 261 2008
Hawke's Bay 3445616 244 2009
Hawke's Bay 3429382 243 2010
Hawke's Bay 3266872 231 2011
Hawke's Bay 3262468 231 2012
Hawke's Bay 2996560 212 2013
Hawke's Bay 2872852 203 2014
Hawke's Bay 3028852 214 2015
Taranaki 697637 96 2002
Taranaki 664627 92 2003
Taranaki 687435 95 2004
Taranaki 678700 94 2005
Taranaki 688273 95 2006
Taranaki 656144 90 2007
Taranaki 637400 88 2008
Taranaki 537850 74 2009
Taranaki 583467 80 2010
Taranaki 556982 77 2011
Taranaki 434402 60 2012
Taranaki 537355 74 2013
Taranaki 502255 69 2014
Taranaki 499840 69 2015
Manawatu-Wanganui 6563838 295 2002
Manawatu-Wanganui 6516684 293 2003
Manawatu-Wanganui 6263729 282 2004
Manawatu-Wanganui 6738633 303 2005
Manawatu-Wanganui 6870265 309 2006
Manawatu-Wanganui 6746989 304 2007
Manawatu-Wanganui 5916784 266 2008
Manawatu-Wanganui 5767131 260 2009
Manawatu-Wanganui 5796023 261 2010
Manawatu-Wanganui 5730947 258 2011
Manawatu-Wanganui 5612743 253 2012
Manawatu-Wanganui 5469819 246 2013
Manawatu-Wanganui 5328843 240 2014
Manawatu-Wanganui 5518950 248 2015
Wellington 1812531 225 2002
Wellington 1779872 221 2003
Wellington 1943427 241 2004
Wellington 2038979 253 2005
Wellington 2012471 250 2006
Wellington 1822057 226 2007
Wellington 1779247 221 2008
Wellington 1659327 206 2009
Wellington 1633879 203 2010
Wellington 1645127 204 2011
Wellington 1664892 207 2012
Wellington 1572985 195 2013
Wellington 1559548 194 2014
Wellington 1420470 176 2015
West Coast 92508 4 2002
West Coast 83978 4 2003
West Coast 81941 4 2004
West Coast 74988 3 2005
West Coast 78067 3 2006
West Coast 54094 2 2007
West Coast 43156 2 2008
West Coast 42889 2 2009
West Coast 41523 2 2010
West Coast 34778 1 2011
West Coast 58085 2 2012
West Coast 32876 1 2013
West Coast 58642 3 2014
West Coast 24679 1 2015
Canterbury 7758336 174 2002
Canterbury 7969929 179 2003
Canterbury 7499728 169 2004
Canterbury 7602271 171 2005
Canterbury 7463075 168 2006
Canterbury 7166822 161 2007
Canterbury 6063300 136 2008
Canterbury 5504718 124 2009
Canterbury 5652101 127 2010
Canterbury 5569215 125 2011
Canterbury 5348010 120 2012
Canterbury 5222094 117 2013
Canterbury 4966905 112 2014
Canterbury 4501137 101 2015
Otago 6120918 196 2002
Otago 5945247 190 2003
Otago 5901789 189 2004
Otago 6185038 198 2005
Otago 5998440 192 2006
Otago 6031166 193 2007
Otago 5343380 171 2008
Otago 5281730 169 2009
Otago 5323860 171 2010
Otago 5203236 167 2011
Otago 5342846 171 2012
Otago 5325322 171 2013
Otago 5257716 168 2014
Otago 5120190 164 2015
Southland 5950657 191 2002
Southland 5855296 188 2003
Southland 5966919 191 2004
Southland 5950627 191 2005
Southland 5928761 190 2006
Southland 5662387 182 2007
Southland 4739003 152 2008
Southland 4556206 146 2009
Southland 4597335 147 2010
Southland 4112930 132 2011
Southland 4356427 140 2012
Southland 4390785 141 2013
Southland 4299214 138 2014
Southland 4072964 131 2015
Marlborough 785115 75 2002
Marlborough 741038 71 2003
Marlborough 675284 65 2004
Marlborough 638031 61 2005
Marlborough 648601 62 2006
Marlborough 578805 55 2007
Marlborough 517526 49 2008
Marlborough 516391 49 2009
Marlborough 522176 50 2010
Marlborough 425299 41 2011
Marlborough 547180 52 2012
Marlborough 518372 50 2013
Marlborough 544578 52 2014
Marlborough 453191 43 2015
Tasman-Nelson 367329 37 2002
Tasman-Nelson 417231 42 2003
Tasman-Nelson 356551 36 2004
Tasman-Nelson 343012 34 2005
Tasman-Nelson 335931 33 2006
Tasman-Nelson 356124 35 2007
Tasman-Nelson 346799 35 2008
Tasman-Nelson 332443 33 2009
Tasman-Nelson 329273 33 2010
Tasman-Nelson 263383 26 2011
Tasman-Nelson 283343 28 2012
Tasman-Nelson 271890 27 2013
Tasman-Nelson 251619 25 2014
Tasman-Nelson 363288 36 2015
Raw
sheepdattotal.csv
year density
2002 150
2003 149
2004 148
2005 151
2006 151
2007 145
2008 129
2009 122
2010 123
2011 118
2012 118
2013 116
2014 113
2015 110
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