population.html
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<!DOCTYPE html>
<html lang="kr">
<head>
<title>RF-Project</title>
<!-- link에 들어가 있는건 지도 데이터를 위한 css 파일 -->
<!-- script에 들어가 있는건 지도 데이터를 위한 js 파일 -->
<!-- 직접 다운받아 넣을 수도 있는데 우선은 그냥 웹에서 불러올 수 있도록 해놨다. -->
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.6.0/dist/leaflet.css" />
<script src="https://unpkg.com/leaflet@1.6.0/dist/leaflet.js"></script>
<!--css 내용 여기에 direct로 넣었다-->
<style>
#mapbase {position:relative; width:40%; height:0; padding-bottom:40%; }
.info {
padding: 6px 8px;
font: 14px/16px Arial, Helvetica, sans-serif;
background: white;
background: rgba(255,255,255,0.8);
box-shadow: 0 0 15px rgba(0,0,0,0.2);
border-radius: 5px;
}
.info h4 {
margin: 0 0 5px;
color: #777;
}
.legend {
line-height: 18px;
color: #555;
}
.legend i {
width: 18px;
height: 18px;
float: left;
margin-right: 8px;
opacity: 0.7;
}
</style>
<!--BOOTSTRAP 사용 부분-->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css" integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk" crossorigin="anonymous">
<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js" integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj" crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/popper.js@1.16.0/dist/umd/popper.min.js" integrity="sha384-Q6E9RHvbIyZFJoft+2mJbHaEWldlvI9IOYy5n3zV9zzTtmI3UksdQRVvoxMfooAo" crossorigin="anonymous"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/js/bootstrap.min.js" integrity="sha384-OgVRvuATP1z7JjHLkuOU7Xw704+h835Lr+6QL9UvYjZE3Ipu6Tp75j7Bh/kR0JKI" crossorigin="anonymous"></script>
</head>
<body>
<div id="bodyWrap">
<div id="header">
<h1><a href="/market_analysis/maplist">Statistics on Return Farm Project</a></h1>
<br>
<h3>농산물 시장 유통에 대한 통계분석 입니다.</h3>
<br>
</div>
<div id="menubar">
<ul class="nav justify-content-center">
<li class="nav-item">
<a class="nav-link active" href="/market_analysis/market">Market</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/market_analysis/population">Population</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/market_analysis/returnfarm">Return Farm</a>
</li>
</ul>
</div>
</div>
<!--population 단독 부분-->
<!--return farm 단독 부분-->
<div id="contentWrap">
<!--검색 바 만든 부분-->
<div id="searchmenu">
<form action="{% url 'population' %}" method="GET">
<div class="form-group">
<select name="maptype">
<option value="9">시도</option>
<option value="10">시군구</option>
</select>
<select name="densitytype">
<option value="edu">귀농가구원 연령별</option>
</select>
<input type="submit">
</div>
</form>
</div>
<!--지도 생성 부분-->
<div id="mapbase">
<script type="text/javascript">
// map 객체 생성 map안에 넣어주는건 div id
// 위도, 경도, zoom 수준
var map = L.map('mapbase', {zoomDelta: 0.25, zoomSnap: 0}).setView([36.5205243,128.0540569], 7);
// tilelayer를 씌우는 작업 OSM을 사용했음
L.tileLayer('https://api.mapbox.com/styles/v1/{id}/tiles/{z}/{x}/{y}?access_token={accessToken}', {
attribution: 'Map data © <a href="https://www.openstreetmap.org/">OpenStreetMap</a> contributors, <a href="https://creativecommons.org/licenses/by-sa/2.0/">CC-BY-SA</a>, Imagery © <a href="https://www.mapbox.com/">Mapbox</a>',
maxZoom: 10,
id: 'mapbox/light-v9',
tileSize: 512,
zoomOffset:-1,
accessToken: 'pk.eyJ1IjoidGpzZGszMTA1IiwiYSI6ImNrYWM5bXljZzB1N28ycnA5bTVsNHZsbnkifQ.W3-irWof5WMR8BcfBR4Ftw'
}).addTo(map);
// mapdata 가져오는 부분
// replace 쓰는 방법 : (바꾸기 전 문자, 바꾸고 난 후 문자)
var statesdata = "{{maps.mapdata}}".replace(/"/g,"\"");
statesdata = JSON.parse(statesdata);
let key = Object.keys(statesdata.features[1].properties);
</script>
</div>
<!--지도에 밀도 데이터 받는 부분-->
<div id="density_mapping">
<script>
var densitydatas = "{{exportdata}}".replace(/"/g,"\"");
densitydatas = JSON.parse(densitydatas);
for(var i=0; i < densitydatas.length; i++)
{
for(var j=0; j<statesdata.features.length; j++)
{
if (statesdata.features[j]['properties'][key[2]]==densitydatas[i]['C1_NM'] && densitydatas[i]['ITM_NM']=='귀농가구원수')
{
statesdata.features[j]['properties']['density']=densitydatas[i]['DT'];
break;
}
}
}
</script>
</div>
<!--지도의 큰 모양 바꾸는 부분-->
<div id="map_design">
<script>
var geojson;
var density_max = 3300;
function getColor(d) {
return d > density_max*0.9 ? '#FF0015' :
d > density_max*0.8 ? '#F20D20' :
d > density_max*0.7 ? '#E6192A' :
d > density_max*0.6 ? '#D92635' :
d > density_max*0.5 ? '#CC3340' :
d > density_max*0.4 ? '#BF404A' :
d > density_max*0.3 ? '#B34D55' :
d > density_max*0.2 ? '#A65960' :
d > density_max*0.1 ? '#99666A' :
'#8C7375';
}
function style(feature) {
return {
fillColor: getColor(feature.properties.density),
weight: 2,
opacity: 1,
color: 'white',
dashArray: '3',
fillOpacity: 0.7
};
}
L.geoJson(statesdata, {style: style}).addTo(map);
// mouseover event listener
function highlightFeature(e) {
var layer = e.target;
layer.setStyle({
weight: 5,
color: '#666',
dashArray: '',
fillOpacity: 0.7
});
if (!L.Browser.ie && !L.Browser.opera && !L.Browser.edge) {
layer.bringToFront();
}
info.update(layer.feature.properties);
}
// mouseout define
function resetHighlight(e) {
geojson.resetStyle(e.target);
info.update();
}
function zoomToFeature(e) {
map.fitBounds(e.target.getBounds());
}
function onEachFeature(feature, layer) {
layer.on({
mouseover: highlightFeature,
mouseout: resetHighlight,
click: zoomToFeature
});
}
geojson = L.geoJson(statesdata, {
style: style,
onEachFeature: onEachFeature
}).addTo(map);
</script>
</div>
<!--information, legend, zoom 넣는 부분-->
<div class="map_info">
<script>
var info = L.control();
info.onAdd = function (map) {
this._div = L.DomUtil.create('div', 'info'); // create a div with a class "info"
this.update();
return this._div;
};
// method that we will use to update the control based on feature properties passed
info.update = function (props) {
this._div.innerHTML = '<h4>Korea Return Farm Density</h4>' + (props ?
'<b>' + props[key[2]] + '</b><br />' + props.density + ' 개의 교육 예정'
: 'Hover over a state');
};
info.addTo(map);
var legend = L.control({position: 'bottomright'});
legend.onAdd = function (map) {
var div = L.DomUtil.create('div', 'info legend'),
grades = [0, density_max*0.1, density_max*0.2, density_max*0.3, density_max*0.4,density_max*0.5, density_max*0.6, density_max*0.7, density_max*0.8,density_max*0.9],
labels = [],
from, to;
// loop through our density intervals and generate a label with a colored square for each interval
for (var i = 0; i < grades.length; i++) {
from = grades[i];
to = grades[i+1];
labels.push(
'<i style="background: '+ getColor(from + 1) + '"></i> ' + from + (to ? '–' + to :'+'));
}
div.innerHTML = labels.join('<br>');
return div;
};
legend.addTo(map);
</script>
</div>
</div>
</body>
</html>